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Construction
Computing
WWW.CONSTRUCTION-COMPUTING.COM
JANUARY/FEBRUARY 2026
VOL 23 NO 01
Scaling with Confidence
Payapps reduces risk by digitising
the paper chain
The Real AI Foundation
Zutec builds AI-based document
intelligence
AI Digs Deeper
How Alice Technologies is
shaping UK tunnelling projects
A New Way of Operating
Why project planning and execution are
key to successful bidding
@CCMagAndAwards
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CONTENTS
JANUARY/FEBRUARY 2026
CONTENTS
SCALING WITH CONFIDENCE 12
How OCU Group, a utilities and digital
infrastructure specialist, strengthened
governance and supply chain trust with Payapps
LIGHT MY FIRE! 16
Graphisoft releases details about its Smart
HVAC solution, MEP Designer, to attendees at
its 2025 User Conference
SKETCHUP AI 20
SketchUp provides some welcome modeling,
visualisation and help tools based on AI in its
latest release, writes David Chadwick
IMMERSIVE TECHNOLOGY 30
An interactive learning environment which
houses an advanced learning space within a
living laboratory is planned for Stowe School
in Buckingham
NEWS................................................INDUSTRY NEWS........................................................................................................6
• AUTODESK INVESTS £2 MILLION IN QFLOW • STREAMLINING SPECS FOR UK ARCHITECTS
CASE STUDY.....................................AI DIGS DEEPER................................................................................................9
• ALICE TECHNOLOGIES EXPLAIN HOW AI IS RESHAPING UK TUNNELLING PROJECTS
COMPANY PROFILE..........................HALF A CENTURY AND COUNTING.................................................................10
• 50 YEARS OF CONSTRUCTION INNOVATION: REDSKY'S JOURNEY FROM CONSTRUCTION ACCOUNTING TO AI
TECHNOLOGY FOCUS......................SPATIAL INTELLIGENCE IN 2026......................................................................14
• Christine Byrne of Looq AI describes the new ground truth for infrastructure
TECHNOLOGY FOCUS......................THE REAL AI FOUNDATION..............................................................................18
• Building document intelligence starts with structure, not web-based models
TECHNOLOGY FOCUS......................A NEW WAY OF OPERATING..............................................................................22
• Why understanding how projects are planned and executed is key to successful bidding
CASE STUDY......................................SYNCHRONISED FOR 4D.................................................................................24
• MORTENSON & MCCARTHY LEVERAGE SYNCHRO TO DELIVER A LANDMARK LUXURY RESORT
INDUSTRY FOCUS.............................AI NEEDS YOUR HELP!....................................................................................26
• IFS EXPLAIN WHY AI REQUIRES A SOLID DIGITAL FOUNDATION IF IT IS TO SUCCEED
CASE STUDY......................................GOING LIVE.......................................................................................................28
• THE UNIVERSITY OF LIVERPOOL ENHANCES ITS OPERATIONS AND ENERGY MANAGEMENT WITH IES LIVE
TRAINING MAP....................................AUTODESK TRAINING........................................................................................32
• YOUR GUIDE TO AUTODESK TRAINING
CASE STUDY......................................BUILDING FOR THE FUTURE...........................................................................34
• SENSATIONAL AND SUSTAINABLE - HOW BIM BUILDS A LASTING LEGACY
January/February 2026 3
COMMENT
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Comment
Would you credit it?
by David Chadwick
Acouple of months ago I wrote in our
monthly newsletter I compared the
enormous cost of running data
centres to handle AI software which was
then being utilised by software designed to
run building and infrastructure projects
more efficiently. I was reminded of this by
the allocation of credits when you
subscribe to SketchUps latest release,
which includes a couple of AI tools: AI
Render and AI Assistant.
A laudable decision and justified by the
reminder that every AI request from a CAD
solution, smartphone, chatbot, driverless
car or a myriad of other devices uses at
least 10 x the amount of data processing
required for a simple Google request. Data
centres are notorious for the amount of
energy required both to run them cool their
hardware arrays down - and it is heartening
to see signs that users are being persuaded
to moderate its use.
I thought I would look into it further. What
does it cost a software developer to add AI
tools to its software, and is there any
indication that any of the costs are passed
onto the user within the monthly or annual
license fee? Well, how long is a piece of
string? The answers ranged from basic
solutions compiled by software tools to
perform simple AI tasks to complex solutions
that perhaps analyse the relationships of
data from multiple sources to compile
financial, planning, environmental and any
other result. Pricewise that can be quoted at
anywhere between £1500-300,000.
What drives up the cost besides the
complexity? That depends on whether the
developer chooses the quickest route by
adding AI to its current application, or
decides to fund a substantial rewrite to
accommodate the new or unique demands
of the AI software. Those who adopt the
quickest route may find that the formats and
processes they have been working with for
years may need a bit of tweaking before they
can adapt to AI.
Within the construction industry, the trend
appears to be moving towards the delivery
of more complex solutions that satisfy the
needs of a very diverse operating
environment. Stakeholders and project
managers have to make decisions on a
multitude of matters from basic on-site
management issues to delivery problems,
sustainability requirements, financial
overheads and much more, hence the costs
of adding AI is not cheap. It is apparent that
companies like Nemetschek have met this
issue head on and have used their own
resources to customise their AI expertise to
fit each of its numerous companies.
Other companies that have AI expertise,
like Looq AI in this issue, have leveraged
it to create specific applications for the
construction industry that can be used to
supplement the information management
and decision making within their
particular environment.
The cost of use remains though. Every
request for AI to perform a minor function
within an application costs a minute fraction
of a penny. The more complex the request -
such as rendering a complete 3D scene -
the greater the cost, though still small. You
can multiply that, though, by the many
thousands of users around the world
working simultaneously on the same
software. How can we measure the impact
that has on a company's operating profits,
presuming that it has to reimburse the data
centre costs incurred by the AI platform?
The only clue is the 200 monthly credit
target that SketchUp has placed on its
standard license. Does that limit help to
maintain a reasonable compromise on
costs - and what happens when a user
exceeds that limit?
4 January/February 2026
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INDUSTRY news
DIGITAL TWINS FOR NATIONAL GRID
Atos has worked with
National Grid to develop
Triton, an innovative new Digital
Twin and Data Visualisation
Tool that will revolutionise electricity
infrastructure planning.
Triton will enable National Grid
to accelerate how it plans the
future electricity network and
support the significant
increase in energy demand
required to achieve Great
Britain's decarbonisation goals.
Triton is a new advanced
visual platform that gives a
clear view of how electricity
demand is expected to grow
across the network. By mapping
future demand at grid
supply points and transmission
substations it provides
vital long-term insight to support
planning and investment
in the grid where it will be
needed most.
By creating a digital replica
of National Grid's physical
infrastructure and designing
Triton to process and manage
this data, National Grid will be
able to run network scenarios
that significantly accelerate
planning, reducing the time
needed to analyse and
decide on where to reinforce
the network by 70%.
Owen Wilkes, Network
Design Director at National
Grid, said, "Triton demonstrates
how innovation, data
and technology can drive
positive change and accelerate
progress towards our
decarbonisation goals.
"Through our collaboration
with Atos we have created a
product that will enable
National Grid to virtually
model scenarios for how,
when and where we expand
our network and services to
meet increased demand for
energy, ensuring we continue
to deliver a resilient, futureready
electricity network."
Triton consolidates thousands
of datasets made
available by Distribution Network
Operators and Transmission
Owners, automating
complex processes and
enabling scenario modelling.
This helps to identify where
reinforcement or new infrastructure
will be required, and
it could also support the
assessment of future customer
connections - such as
data centres or embedded
generation - on local and
regional network capacity.
Triton also feeds directly into
National Grid's deeper monitoring
and engineering tools,
speeding up model configuration
and enabling faster stresstesting
of multiple network
options to identify the strongest,
most future-ready solutions.
https://atos.net
AUTODESK INVESTS £2 MILLION IN QFLOW
Qflow has announced a £2
million strategic investment
from Autodesk, marking
a major step in its ambitious
plan to link construction data
back with design intent. The
investment builds on the existing
product collaboration
between Qflow and Autodesk
Construction Cloud, with the
shared goal of creating a
powerful integrated solution
that helps close the loop
between design intent and
construction reality.
By reconciling construction
data on real-time material
quality, quantity and supplychain
intelligence back into
design data, Qflow strives to
enable construction teams to
identify and resolve materialrelated
issues before they
cause delays, rework, or budget
overruns.
With many project teams still
relying on manual, fragmented
processes to monitor site
Michael Dorman and Marc Schütz
activity, material supply-chain
issues are some of the most
persistent sources of rework
and cost overruns in construction.
This move emphasises
the growing demand for a
solution that delivers accurate,
real-time material and waste
intelligence to reduce errors,
cut emissions, and protect
tight margins. It also reflects
Autodesk's ambition to help
the construction industry
reduce waste, improve data
quality, and enable better sustainability
outcomes.
In Qflow, Autodesk recognised
a best-in-class solution to
achieve this. By digitally capturing
field data in real-time, Qflow
provides project teams accurate
information on their material
and waste flows, and intelligence
on the potential risks. All
of which support minimising
error, liability, and waste.
www.autodesk.com
https://qualisflow.com
TWO NEW APPOINTMENTS FOR REVIZTO
Revizto has strengthened its
leadership team with two
additions. Championing sustainable
growth and transformation
along with a laser sharp
focus on deepening customer
partnerships, Michael Dorman
has been appointed as Chief
Revenue Officer. He previously
served as VP in commercial
roles at Hexagon and Multivista,
which was acquired by
Hexagon. He is joined by Marc
Schütz as Chief Product Officer,
who brings with him over
20 years of experience in product
management and development
across Augmented Reality
and digital transformation in
building and industrial engineering
for companies such as
Bentley Systems and PTC.
Together, Marc and Michael
will develop Revizto’s product
roadmap with a practical, valuedriven
approach supported by
their deep industry experience.
https://revizto.com
6
January/February 2026
SAVE THE DATE
AWARDS CEREMONY
12TH NOVEMBER 2026
CENTRAL LONDON
www.constructioncomputingawards.co.uk
@CCMagAndAwards
INDUSTRY news
UNITED FOR THE UK BUILT ENVIRONMENT
From 12–14 May 2026 UK
Construction Week London
and Futurebuild will come
together to create a new
national platform for the built
environment at Excel London.
The collaborative colocation
will form the UK's Built Environment
super event,
designed to reflect the full
scale, complexity and ambition
of an industry facing
unprecedented change.
Together, the events will bring
25,000 built environment professionals,
600+ exhibitors
and 700+ speakers across
10 dedicated stages under
one roof - making it the
largest and most comprehensive
construction event in the
UK calendar.
While collaborating closely,
UK Construction Week London
and Futurebuild will
retain their own powerful identities,
communities and curated
content, ensuring clarity of
purpose alongside the benefits
of scale and connection.
Futurebuild will remain the
UK's leading event for sustainability,
Net Zero and innovation
in the built environment. It will
continue to deliver highly
respected CPD-accredited
content, connecting architects,
designers, local authorities
and developers with ideas and
solutions driving low-carbon
construction, circular materials
and large-scale retrofit.
UK Construction Week London
will continue to champion
the practical delivery of construction
projects, bringing a
hands-on, solutions-led focus
to the industry. The event connects
contractors, housebuilders,
trades and engineers
with the tools, systems and
skills needed on site, supported
by live demonstrations,
immersive features and CPDaccredited
content grounded
in real-world delivery.
This collaboration responds
directly to the industry's call for
greater cohesion, clearer leadership
and more connected
experiences, at a time when
meeting net zero targets,
modernising skills and decarbonising
the built environment
have never been more urgent.
Martin Hurn, Event Director,
Futurebuild, commented: "This
is about creating one connected
platform that reflects
how the industry actually
works - from vision to specification
to delivery."
www.ukconstructionweek.com
www.futurebuild.co.uk
BENTLEY SYSTEMS BOOSTS ASSET ANALYTICS
Bentley Systems has
acquired Talon Aerolytics
and the technology and technical
expertise of Pointivo,
strengthening Bentley's Asset
Analytics portfolio, which
applies digital twins and AI to
help owner-operators improve
asset performance and
resilience across infrastructure
sectors.
Bentley Asset Analytics
includes OpenTower iQ for
telecommunication towers and
Blyncsy for road networks.
The new acquisitions extend
Bentley's offerings in both
telecommunications and electric
utilities, enabling integrated
digital workflows that support
global 5G deployments
and grid modernisation.
James Lee, chief operating
officer, Bentley Systems, said,
"These acquisitions represent a
major investment in scaling our
Bentley Asset Analytics offering.
By deploying AI across
infrastructure sectors, we are
enabling continuous inspections
to improve operational
performance and maintenance
economics for asset owners. "
www.bentley.com
STREAMLINING SPECS FOR UK ARCHITECTS
Norrsken, a UK-based manufacturer
of high-performance
triple-glazed aluminiumclad
timber windows and
doors, has partnered with NBS
to make its passive house certified
products available on their
construction product specification
platform, NBS Source.
The partnership gives architects,
specifiers and designers
free access to detailed technical
specifications, CAD files
and product data for nine of
Norrsken's most specified
products through the NBS
Source platform, which is used
by more than 5,000 architecture
and engineering practices
across the UK. BIM objects in
Revit and IFC formats for all
nine products will roll out progressively
over the next six
weeks, with multiple opening
configurations and timber or
aluminium-clad variants available
for each product type.
NBS Source allows architects
to search, compare and
select from more than 26,000
construction products, with
direct integration into NBS
Chorus specification software
and plugins for Revit, Archcad
and Vectorworks.
Norrsken's listing includes
comprehensive technical data
for three passive house certified
window ranges and six
door ranges, all manufactured
to bespoke specifications
with U-values as low as
0.64 W/m²K.
www.norrsken.co.uk
8
January/February 2026
CASEstudy
AI digs deeper
Bryony Coombs, customer success manager at ALICE Technologies, explains how AI is reshaping UK
tunnelling projects
With billions invested in the UK's
tunnelling infrastructure, delivering
projects on time and to budget has
never been more politically or commercially
critical. From HS2 to Thames Tideway and
Lower Thames Crossing, delays can quickly
become national talking points. To keep
programmes on track, project teams are
increasingly turning to artificial intelligence
tools to analyse options and support datadriven
decision-making.
TOO MANY OPTIONS, TOO LITTLE
TIME
On HS2's Euston section, the Skanska
Costain STRABAG Joint Venture (SCS JV)
used AI tools to explore whether they could
bring forward shaft construction timings. As
Andrew Irwin, construction manager for Area
East, recalled: "We had an idea that we
could achieve this earlier shaft sinking
ambition, but there were too many options
on the table and only limited time available
to analyse them all."
Working from a model built over several
months, the team developed a full picture of
the logistics, equipment, sequencing and
labour requirements. This was used to
generate buildable options. One scenario
alone reduced the programme by 86
working days, worth an estimated £2 million
in overheads.
REMOVING PERSONAL BIAS
The change required the team to rethink
how the work would be delivered on-site.
Their original schedule was based on a
phased approach, but the new model
identified ways to use plant and labour
more efficiently by delivering work
concurrently. This was only possible with
cross-team input.
"ALICE took the whole team's knowledge
and allowed us to create a fully detailed
overview of the project that reflected
everyone's perspective," said Andrew. "By
having this information in one place, we
could use ALICE to churn out options much
quicker than if we had done it by ourselves.
Most importantly, because we had a single
holistic model, it took the personal
attachment to the various work packages
away. ALICE removes that bias, providing
an independent analysis."
BETTER DECISIONS, EARLIER
Early engagement is critical. A large
proportion of programme-defining decisions
are made before ground is even broken. On
major tunnelling schemes, the procurement
timeline for Tunnel Boring Machines (TBMs),
the casting of segment rings, and shift
patterns for critical crews are typically fixed
during pre-construction.
AI scheduling platforms allow teams to
test these assumptions before they are
locked in. Alternative strategies, such as
different crane configurations or crew
allocations, can be explored and
compared, with the impacts on cost and
time calculated automatically.
This approach supports the principle
shown in the MacLeamy curve, which
illustrates that changes made earlier in a
project are significantly more costeffective
than those made later. By
integrating AI tools during early planning,
teams can influence outcomes while
changes are still affordable.
BENCHMARKING FOR
IMPROVEMENT
On another section of HS2, SCS JV used
the same approach to optimise the
installation of over 7,000 precast segment
rings. Adjusting crane use and logistics
sequencing delivered an additional £2
million in savings without any change to
design or specification.
Because the AI-generated scenarios can
be benchmarked against the original
programme, it creates a built-in
comparison of options, helping teams
understand the true benefit of proposed
changes. This can be especially valuable
where procurement decisions or
productivity targets need to be justified.
FROM MODEL TO DELIVERY
The use of AI tools does not end once
construction begins. These platforms can
support live project management, enabling
rapid resequencing if a delay or disruption
occurs. Resequencing allows mitigation
strategies to be explored quickly and
construction work to be reallocated,
reducing the impact of unforeseen events.
Andrew added: "The team took the
optimum schedule that ALICE had
delivered and ran with it, challenging
ourselves to take it even further based on
what we knew about the project so far.
That resulted in another three-month
reduction in programme, so a twelvemonth
advance overall."
BUILDING KNOWLEDGE FOR
FUTURE PHASES
As experience with these tools grows,
project teams are developing in-house
capability to use them more effectively. At
Euston, a core team knew how to set up the
model, what to look for and how it could be
applied to future scopes of work.
As tunnelling projects grow in scale and
complexity, the ability to rapidly evaluate and
compare delivery options will become
increasingly important. AI scheduling does
not replace experience, but it enables more
confident decision-making and offers a
practical way to manage risk across all
phases of a tunnelling project.
Learn more about ALICE Technologies'
suite of products on the ALICE website:
www.alicetechnologies.com/home
January/February 2026 9
COMPANY profile
Half a Century and Counting...
50 years of construction innovation: RedSky's journey from construction accounting to AI
As RedSky celebrates its 50th
anniversary, the award-winning ERP
provider is reflecting on how
construction technology has evolved - from
the earliest accounting systems to today's
fully integrated digital platforms - and where
secure AI will take the industry next.
FIVE DECADES OF PROGRESS
When RedSky began its journey in 1975,
construction software was barely a
recognised product category. As Mike
Aspinwall, now Chief Operating Officer of
JDM Technology Group (RedSky's parent
company), recalls, early systems were
focused almost entirely on core ledgers,
subcontractor payments and job-costed
payroll. Hardware limitations were severe -
machines with 10MB disks and 64K of
memory - yet the goal was already clear:
give contractors visibility of job costs and
subcontractor activity in one place.
Today, although the physical act of
construction hasn't radically changed, the
digital infrastructure surrounding projects
has undergone a significant
transformation. What started as accounting
for construction has evolved into a cloudbased,
fully integrated ERP platform that
supports Finance, Commercial,
Operational, and Site teams.
FROM PAPER TO DIGITAL
WORKFLOWS
The last decade has seen an industry-wide
shift away from paper. Processes that once
relied on printed documents and manual
circulation - especially invoice approval -
are now digital: invoices arrive by email,
OCR captures key data, workflows route
approvals, and documents are stored
centrally and securely.
This digital-first approach now extends to
timesheets, expenses, site inspections,
health & safety forms and snagging lists.
RedSky's mobile-enabled forms allow site
teams to capture information on
smartphones and tablets, syncing to the
ERP when online. The gains are significant:
faster approvals, better accuracy, fewer
lost documents and tighter control over job
costs. These improvements form the
foundation of RedSky's modern platform -
progress that has been widely recognised
across the industry.
2025: AWARD-WINNING ERP IN A
LANDMARK YEAR
2025 marks two major milestones:
RedSky celebrates its 50th anniversary
and has been named Best ERP Software
of the Year at the Construction Computing
Awards (The Hammers). As one of the
industry's most respected judging panels,
The Hammers recognise technology that
is genuinely raising the bar for digital
construction.
This latest honour follows RedSky's 2024
win for Best Construction Management
Software, cementing the platform's
position as one of the most trusted and
proven ERPs in the sector. These back-toback
awards highlight RedSky's longstanding
reputation for quality, innovation
and unwavering commitment to the
construction industry.
REAL RESULTS: WHAT REDSKY
CUSTOMERS ARE ACHIEVING
RedSky customers reveal the real-world
benefits of adopting construction-specific
ERP, from streamlined subcontractor
processing to stronger commercial
reporting. Their successes highlight the
immense value of integrated ERP today:
Stepnell migrated to RedSky's latest
ERP and now processes around 2,000
invoices a month through the Invoice
Register. OCR and automated
workflows have transformed Accounts
Payable (AP), while Business Analytics
gives more than 100 commercial users
CELEBRATING 50 YEARS WITH A LIMITED-TIME ERP OFFER
To mark its 50th anniversary, RedSky is offering new customers a milestone
opportunity. For a limited period, every ERP adoption includes a complimentary
£5,000 consultancy package, designed to accelerate implementation and help
teams get value from day one. It is a thank-you for five decades of trust, and an
invitation to the next generation of contractors joining the RedSky community.
To learn more about how RedSky solutions can help streamline your business
processes, get in touch today.
10
January/February 2026
COMPANYprofile
real-time CVR and cost visibility. By
integrating RedSky with Payapps,
Stepnell has made its subcontract
order-to-payment process around 75%
more efficient.
FT Group uses RedSky ERP across
three businesses as a job costing and
financial control platform. Business
Analytics dashboards enable contract
managers and QSs to self-serve job
costs, and the Payment Performance
app provides the evidence needed to
stay on public sector frameworks by
demonstrating that supply chain
payments are made on time.
Johns of Nottingham moved from a
legacy system to RedSky ERP and a
digitised Invoice Register workflow,
making AP around 40% faster and
audits far simpler, while online
timesheets via RedSky Time save tens
of thousands of pounds a year.
The impact is clear: contractors achieve
stronger governance, dependable digital
processes and insights they can measure,
repeat and scale across every project.
WHY REDSKY ERP WORKS: THE
TECHNOLOGY BEHIND THE
RESULTS
The performance described by RedSky
customers is driven by a platform
engineered specifically for the
construction environment. RedSky ERP is
a modular, scalable system built around
project-driven work and disciplined
financial control:
Construction-Focused Financials:
Projects sit at the centre of the
Contract, Sales, Purchase and Nominal
Ledgers, allowing teams to track
committed and actual costs, retentions,
valuations and margins with instant
drill-down to every transaction.
Cost Control & CVR: The CVR suite
replaces fragmented, spreadsheetheavy
reporting with consistent,
auditable dashboards that clearly
display cost to date, cost to complete,
and projected outcomes.
Procure-to-Pay Automation: Integrated
Procurement, GRN and Invoice
Registers digitise the full requisition-topayment
lifecycle, cutting manual entry,
reducing disputes and accelerating
approvals.
Business Analytics: Role-based
dashboards consolidate live
commercial, financial, procurement,
and plant data, enabling teams to work
from the same accurate, up-to-date
information.
Subcontractor Processing & CIS:
Purpose-built ledgers, automated CIS,
Reverse Charge VAT workflows and
HMRC integrations provide full
visibility and compliance across the
supply chain.
THE NEXT CHAPTER: SECURE AI
Looking ahead, RedSky has developed
AI Assistants designed to work securely
with customers' existing data and
accessible from inside the platform. The
primary goal is to streamline everyday
tasks and make information more
immediately accessible. Instead of
searching menus, exporting data or
building reports, users will get accurate
answers using plain language.
For example, users can ask simple
questions such as:
"What are the costs to date on the
(Project Name) job?"
"Show me the budget vs costs on the
(Project Name) job?"; or
"Where is the plant item (Asset ID)
located?"
Users can even pose sophisticated
queries, such as, "What is my average
hourly rate on my least profitable job?"
where the AI identifies the job, filters
labour cost codes, and calculates the
average from quantities and values.
RedSky's AI Assistants will augment
human decision-making by surfacing
new insights, allowing users to focus on
higher-value tasks. We are also adding
an AI Match capability to our Invoice
Register Automation. This module uses
Gen AI to automatically suggest
matching invoice lines with order lines,
utilising quantities, descriptions, and
values to achieve high confidence levels.
In the future, predictive capabilities will
be leveraged to enhance CVR
forecasting, meet Payment Performance
requirements, and improve Cash Flow
forecasting.
"Our AI roadmap marks a bold new
chapter for our business. We are
weaving intelligence into the fabric of
how we work - empowering our teams
with tools that elevate the time, quality
and depth of their thinking... By
embedding AI directly into our products,
we are unlocking entirely new sources of
value and delivering predictive
capabilities that help our customers
move confidently into the future." - Phil
Kent, Managing Director.
REDSKY, CRASH AND THE VALUES
BEHIND 50 YEARS
RedSky is also recognised for its
sustained commitment to industry-wide
social impact. For more than a decade,
it has been a proud Corporate Patron of
CRASH, the charity supporting
homelessness and hospice
organisations through life-changing
construction projects.
In 2019, RedSky received an Above and
Beyond Award for 10 years of continuous
support. This year, CRASH named the
company its Corporate Patron of the
Month, acknowledging its ongoing
advocacy and fundraising efforts -
including an £18,000 donation from the
RedSky user group. This involvement
reflects the wider values of the JDM
Technology Group, whose people-first
culture provides the stable foundation
that enables RedSky to innovate while
continuing to give back to the industry it
has served for half a century.
www.redskyit.com
January/February 2026 11
CASEstudy
Scaling with Confidence
How OCU Group Strengthened Governance and
Supply Chain Trust
Rapid growth brings opportunity, but
it also magnifies operational risk.
For organisations operating in
highly regulated, project-driven
environments, scaling without the right
systems can quickly expose inefficiencies,
compliance gaps and pressure points
across the supply chain.
For OCU Group, a utilities and digital
infrastructure specialist delivering work
across electricity, gas, water, rail, telecoms
and directional drilling, growth became the
catalyst for fundamental change.
Founded in 1994 and headquartered in
Stockport, Greater Manchester, OCU
Group reported record revenues of £866
million for the financial year ending April
2025 - a 42% increase on the previous
year. With around 5,000 employees and
an expanding portfolio of projects, the
business faced a challenge common
across the industry: managing a rising
volume of subcontractor applications for
payment efficiently, transparently and
compliantly.
The solution came through the digitisation
and automation of its application for
payment process.
WHEN MANUAL PROCESSES NO
LONGER SCALE
As OCU Group's project
volumes increased, so too
did the number of
subcontractor applications requiring
assessment, certification and payment.
Longstanding manual processes - reliant
on paper, spreadsheets and email - were
increasingly difficult to manage at scale.
Manual administration was creating
bottlenecks, limiting visibility and risking
delays to subcontractor payments. More
critically, inefficiencies in the process
exposed the business to potential noncompliance
with the Construction Act.
Peter Vevers, Commercial Director of
Utility Services, recalls the strain on the
organisation: "Before Payapps, our team
was drowning in paperwork and
spreadsheets, which resulted in constant
inconsistencies and delays." Lack of
transparency compounded the risk. "If
someone was away from the business, we
couldn't see whether an application had
been responded to, which not only
delayed subcontractor payments but put
us at risk under the Housing and Grants
Act," he added.
With recruitment challenges affecting the
wider industry, increasing administrative
headcount was neither desirable
nor sustainable. OCU
Group needed
a system capable of increasing throughput
while reducing risk - not adding to it.
GOVERNANCE UNDER PRESSURE
OCU Group has built its reputation on
strong governance and operational
discipline. However, leadership recognised
that even closely governed manual
processes were vulnerable to error,
inconsistency and inefficiency.
Chris Corrie, Group Commercial Director,
explained, "The process for paying the
supply chain was very manual. While it was
governed closely, it gave us a lot of risks
and exposure to legislation challenges."
Paper-based workflows left room for
human error, inconsistent record-keeping
and delayed responses - all issues
magnified by growth and complexity
across a diverse group of businesses.
The conclusion was clear - digitisation
was essential to protect compliance,
improve visibility and support future
growth.
12
January/February 2026
CASEstudy
CREATING A SINGLE SOURCE OF
TRUTH
OCU Group implemented Payapps across
its utilities division to standardise and
automate the application for payment
process. The objective was not just
efficiency, but control - creating a single,
centralised source of truth for both internal
teams and the supply chain.
Payapps replaced spreadsheets and
email chains with structured digital
workflows, giving all stakeholders real-time
visibility of application status, deadlines
and certification outcomes.
A key benefit was improved alignment
between commercial and finance teams.
"When a payment is certified in Payapps,
it moves directly into our accounting
software," said Vevers. "It then goes
through a separate compliance check
before flowing through for payment. This
all happens now without any printing,
scanning or emails - and it's working
really well."
COMPLIANCE EMBEDDED BY
DESIGN
Ensuring legislative compliance was a
central driver behind the adoption of
Payapps. Automated workflows ensure
applications, payment notices and
certifications are actioned within required
timeframes, significantly reducing
compliance risk.
"The protection the software brings by
ensuring our legislative compliance was
certainly a big focus for us," explained
Corrie. "And we're an acquisitive
business, so the intuitive workflows in
Payapps ensure businesses new to us
quickly integrate and adhere to our
robust processes,"
Since going live in November 2024,
adoption has been rapid and extensive -
"We've put £270 million worth of payments
through the system," said Corrie,
highlighting Payapps' flexibility in
supporting different valuation models
across the group's diverse operations.
VISIBILITY THAT TRANSFORMS
DAY-TO-DAY OPERATIONS
For operational teams, the shift from
fragmented communication to a single
platform delivered immediate benefits.
Senior Quantity Surveyor, Josh
Warburton, described the difference: "In
the past, everything came through via
emails which are easy to lose track of.
Whereas, with Payapps, it's all in one
system. You get an email notification when
an application for payment comes in, so
you can't really miss anything, even if
someone is off."
Meanwhile, for finance and payments
teams, improved visibility extended into
reporting, forecasting and cashflow
management has streamlined everything
and provided better visibility.
Payapps has also supported
knowledge development for junior staff.
Apprentice Quantity Surveyor, Amy Witts,
noted, "It's massively helped just with my
general knowledge of the construction
industry and the end-to-end processing
of a payment."
MEASURABLE GAINS IN
ACCURACY AND PRODUCTIVITY
The impact of standardisation has been
significant. By enforcing a consistent
application format, Payapps has reduced
rejection rates from 60-70% to under 5%.
Common issues such as incorrect details,
missing information and formatting errors
have largely been eliminated.
Invoice accuracy has improved in
parallel. "Now the certifications are visible
to our subcontractors in Payapps, there's
no need to send them spreadsheets in
which rounding errors and other minor
inaccuracies often occurred," said Lee
Jones, Energy Commercial Director.
The reduction in rejected invoices,
credits and reissues has removed a major
source of delay and frustration for both
OCU Group and its supply chain, while
productivity gains have been equally
notable. Over a 12-month period, the
finance team more than doubled the
number of certifications processed - from
around 800 to 2,000 - without increasing
headcount.
"That's in no small part down to the
accuracy of data coming through to the
finance team," commented OCU's
Subcontractor Payments Manager. "Using
APIs, the information flows straight from
Payapps into our Microsoft Dynamics ERP
system, so errors are minimal."
STRENGTHENING SUPPLY CHAIN
RELATIONSHIPS
Beyond efficiency and compliance,
Payapps has played a critical role in
strengthening trust across OCU Group's
supply chain. As a signatory of the Fair
Payment Code, the business is committed
to paying subcontractors on time and in
line with agreed terms. Payapps provides
the transparency required to demonstrate
that commitment.
"We generally pay all of our
subcontractors ahead of our clients
paying us," said Vevers. "So they can be
confident the money is flowing through
the supply chain."
For subcontractors, real-time visibility
has removed uncertainty. Imi Hyde,
Director at H&E Telecoms, explained,
"When I submit an application, I get an
email confirming it… You don't have to sit
and wait, or chase people." He added,
"With Payapps, you know exactly when
you're due payment and what you're
due… It gives me full transparency."
Improved visibility has also reduced
disputes and helped move
conversations away from confrontation.
"If we disagree with a value, they can see
which week we disagree with," said
Vevers. "Anything more than two or three
weeks old is fully agreed."
Corrie summarised the impact:
"Dispute levels have fallen and Payapps
really helps us have a cleaner transition
from what can be an adversarial position
at times."
BUILT FOR CONTINUED GROWTH
For OCU Group, implementing Payapps
was a strategic decision aligned with
long-term growth ambitions. "Payapps
offers great peace of mind… along with
its scalability," Corrie concluded. "We
chose software that could be
implemented quickly, because OCU is a
business that moves quickly… we're
hopeful that Payapps will continue with
us on that journey."
With robust governance, scalable
workflows and strengthened supply chain
relationships now embedded, the
business is better positioned for the next
phase of expansion.
https://hubs.ly/Q041WR0b0
January/February 2026 13
TECHNOLOGYfocus
Spatial Intelligence in 2026
Christine Byrne of Looq AI describes the new ground truth for infrastructure
In mid-2024, the Looq Platform,
developed by Looq AI, was described
as a "walk in the park" - a nod to the
simplicity of capturing survey-grade data
just by walking a site. As we open the first
chapters of 2026, that "walk" has led the
industry to a more significant destination.
What began as a breakthrough in groundbased
rapid data collection has matured
into a full-scale framework for spatial
intelligence for the built world.
This represents a fundamental shift:
moving beyond the mere collection of
high-accuracy points toward a future
defined by Semantic Continuity and
Absolute Spatial Integrity.
A TALE OF TWO REGULATORY
CEILINGS
Together, these regulatory shifts are
accelerating a broader re-evaluation of
how spatial data is captured, validated,
and operationalised. The urgency for highfidelity
terrestrial data is being driven by a
global regulatory landscape that reached
a tipping point this month. However, the
challenges for the UK and US markets,
while both restrictive, are fundamentally
different:
In the UK: As of January 1, 2026, the
UK CAA's Remote ID mandates are in
full effect. New drones must now carry
a UK Class Mark (UK0-UK6), and any
camera-equipped drone over 100g
requires a Flyer ID. This shifts the
burden onto the operator for increased
digital accountability.
In the US: The December 22, 2025,
FCC actions have targeted the supply
chain itself. By adding all foreignproduced
UAS and "critical
components" to the FCC "Covered
List," the US has created a sudden
and significant constraint on available
aerial technology options.
For a decade, the sector anchored
itself to the drone as the primary
delivery vehicle. The start of 2026 is
reinforcing that flight is a perspectivenot
a data standard.
NAVIGATING THE SUPPLY CHAIN
VACUUM
The US FCC ruling, as analysed by
Politico, hits 90% of the market currently
utilising foreign-produced technology the
hardest across commercial and utilityscale
deployments. Because the ban
extends to "critical components" - including
sensors, flight controllers, and batteries - it
impacts not just foreign-branded drones,
but even domestically assembled units
that rely on global parts.
For firms tasked with maintaining the
power grid, waiting for a fully independent
domestic aerial supply chain to mature is
not an option.
DECOUPLING DATA FROM
AIRSPACE
At Looq AI, our approach focuses on a
"flightless" workflow that prioritises
high-fidelity spatial intelligence. By
moving reality capture to the ground
with the qCam, we address the
systemic challenges created by both
UK and US regulations:
14
January/February 2026
TECHNOLOGYfocus
Hardware Sovereignty: As a handheld
sensor, the qCam operates entirely
outside the scope of the FCC's dronespecific
restrictions. Designed and
assembled in the US, we provide an
NDAA-compliant path for firms
requiring supply chain certainty.
Zero Flight Friction: Moving to the
ground removes the administrative
weight of flight waivers and the
increasing complexity of Remote ID
implementation. It allows teams to
capture data in "no-fly" zones and
dense urban corridors where aerial
methods face physical and
regulatory barriers.
The Detail Gap: To perform a NESCcompliant
structural analysis, an
engineer needs bolt-level detail. Our
proprietary qAI algorithms construct 3D
digital twins with 2-5mm relative
accuracy, reaching the sub-centimeter
detail that aerial platforms often
struggle to resolve consistently,
regardless of their country of origin.
SEMANTIC EXTRACTION: MOVING
FROM "POINTS" TO "OBJECTS"
The true bottleneck in modern CAD
workflows is not capture; it is classification.
A raw point cloud, no matter how accurate,
is still just a collection of X, Y, Z
coordinates. Without classification, much
of that data is effectively unusable in
downstream engineering workflows. The
manual task of "point-picking" - manually
identifying which dots represent a
transformer and which represent a tree
branch - may be one of the single greatest
drains on professional resources in the
AEC industry today.
The maturity of automated semantic
extraction represents a pivot point. The
Looq Platform's algorithms identify,
segment, and georeference distinct
engineering objects automatically. By the
time the data reaches an engineer's desk,
the assets are already classified.
This was validated by the Bentley
Systems 2025 Going Digital Awards, where
AquaWolf (a Qualus company) received
the Founders Honor Award. By integrating
Looq's terrestrial capture with Bentley's
PLS-CADD, AquaWolf achieved a 60%
reduction in modeling time. They didn't just
make a model; they built a structural
analysis workflow that was faster and more
accurate than traditional manual methods.
ENGINEERING UTILITY IN THE
"LAST MILE"
Infrastructure Intelligence is defined by its
performance where traditional GPS or
aerial sensors fail. We are now seeing our
platform solve the "Last Mile" of information
across diverse sectors where those
methods face limitations:
Hazardous Access & Safety: In
electrical undergrounding projects, the
qCam can be mounted on hot-sticks
with integrated strobe lighting. As
demonstrated in Looq's
technical series, this generates highfidelity
as-builts inside manholes and
vaults without requiring human entryremoving
a massive safety liability.
Hybrid Preservation: In Idaho's Soldier
Ghost Town, Accurate Surveying &
Mapping merged DJI Mavic 3E terrain
data with qCam terrestrial capture to
model the 115-year-old Goff's Hall.
While the drone established the site
map, the platform provided the 2-
5mm relative precision required to
model foundation settlement and
masonry decay.
Rapid Recovery: Following the 2024
Jasper wildfire, McElhanney bypassed
restricted post-disaster airspace by
capturing four city blocks on foot in just
4 hours. By extracting building
footprints directly from georeferenced
point clouds, they verified property
boundaries and kickstarted rebuilding
efforts weeks ahead of schedule.
INTEROPERABILITY: THE RISK
MITIGATION STRATEGY
The value is in the data. The true test of
any tech trend is its integration into
existing workstreams. A "closed" system
is a dead system.
The Looq Platform produces classified
.laz point clouds and orthorectified TIFF
imagery designed for native, frictionless
import into AutoCAD Civil 3D, Bentley's
PLS-CADD, and Trimble Business Center
(TBC). This interoperability helps firms to
stay hardware-agnostic, protecting them
from regulatory shifts or hardware bans,
while ensuring their data remains a "living"
asset throughout the infrastructure lifecycle.
FROM DATA CAPTURE TO
INFRASTRUCTURE INTELLIGENCE
In 2024, the breakthrough was the ability to
capture survey-grade data with a "walk in
the park." In 2026, the breakthrough is what
happens after the walk. The sector has
moved beyond the era of just collecting
points to an era of Spatial Intelligence,
where software handles the heavy lifting of
identifying and classifying the world it sees.
The industry is under increasing pressure
because it remains anchored to a specific
delivery vehicle - the drone. But the value is
in the data. As the regulatory landscape for
drones continues to tighten globally, the
transition to ground-based, AI-driven
capture is more than a workaround; it is a
technological upgrade that drives resilience
and grid reliability for the next generation.
https://looq.ai
January/February 2026 15
SOFTWAREfocus
Light My Fire!
Graphisoft releases details about its Smart HVAC solution, MEP Designer, to attendees at its
2025 User Conference
Graphisoft's user conference
attendees in Budapest were
treated to a rich demonstration
of the latest software tools in the hourlong
Ignite presentation. A number of
these were described in the article on
Archicad 29 in the last issue, but there
were plenty of other topics that were
introduced, including the increasingly
rapid trend towards BIM and
digitalisation, the need to share data not
only with fellow users but with other
applications, and the greater use of
cloud technology.
The highlight, though, was the focus on
the Cinderella of the industry, MEP.
HVAC Layout systems for buildings are
very complex, estimated to contribute an
average of 35% to a building's
construction costs. They depend on
collaboration between different
disciplines, many of them inhabiting the
same service spaces within a building,
each with their own methods and
idiosyncrasies when it comes to design
and layout, with data usually held in
different formats and silos.
Reflecting the BIM collaboration
outlined above, Graphisoft has released
a new standalone product called MEP
Designer. Attendees of the Ignite session
were the first to see the new features of
the software in operation, although it is
based on the Archicad MEP software
that many are already familiar with.
MEP Designer adds smart functionality
to HVAC design, basing it on
Graphisoft's BIM engine backed up by
the AI application, Zenesis. Its core
function is to use AI to generate layouts
in a building for all of its MEP systems,
integrating them from the beginning of
the design process. That comes with an
incidental bonus. In the past, MEP
engineers usually got involved after the
building design had been laid out -
leading to costly modifications if the
design needed to be changed to
accommodate their needs.
Using MEP Designer, Zenesis can work
with Archicad to incorporate all heating,
ventilation, and plumbing solutions
within a building's design, ensuring that
the layout of each is consistent with the
design as it develops and keeping them
in step and within budget. With access
to the building's plans, rooms, areas,
heating requirements, and other details,
all are available for use in the
calculations needed to refine a complete
MEP solution. The benefits are
immediate, replacing hours of complex
calculations with a rapid and interactive
solution that allows engineers to work
with architects on developing an
optimum solution to meet a building's
total MEP requirements, and to
automatically produce all of the
supporting plans and documentation.
MEP Designer allows designers to add
fittings to a design to modify or
supplement the original system, access
additional MEP attributes, like insulation,
remove a node from a system and more,
all with a single click. It also includes an
intelligent connection solver, capable of
resolving issues with open connections
using Graphic Overrides, which Archicad
users will already be familiar with, or
handling complex scenarios that include
angles and slopes.
PHYSICAL CALCULATION ENGINE
A physical calculation engine, supported
by Smart Solutions, demonstrated the
rather unique characteristics of
plumbing solutions. Slopes are essential
in gravity, rather than pressure-driven
systems, especially when you need to
keep the wastewater flowing in a large
multi-use building. MEP Designer
enables designers to edit the slope on a
complete floor plan, which would
otherwise be a laborious and timeconsuming
exercise. The new physical
calculation engine allows designers to
define the requirements of a system and
then automatically refine it with all of the
correct slopes and angles using the
software's built-in optimiser solutions.
The cherry on the cake is that once the
MEP Designer has completed its task,
the results are transferred back into
Archicad in native format, and what was
previously a complex process becomes
a clear, intuitive one, saving time, effort,
and costs.
16
January/February 2026
SOFTWAREfocus
GOING FURTHER
With the basic layout established, MEP
Designer can then further develop the
design, adding environmental and other
factors to determine how much heating
a building actually needs. Archicad
allows a complete building to be
exported as an IFC file, along with its
spaces, walls, slabs roofs, windows and
doors, the materials used, other
construction requirements - plus its
location and settings, which may be
necessary to establish its zone type. It
then uses the information to create a
thermal model that enables MEP
engineers to check the heating needs of
all of the rooms in a model.
Having established its geographical
location and climatic environment, with
simple clicks, designers can go even
further, focusing on prevailing weather
conditions or deciding whether
insulation is needed to protect piping, or
sunlight and other types of heat can be
added into the calculation - with the aim
of establishing how comfortable each
room would be. The results can then be
configured using a coloured code that
shows which rooms need additional
heating for optimum comfort - all fed
back into the calculation to establish the
core heating requirement.
CONFIGURING A POTABLE
WATER SYSTEM
Water is just as complex as heating in a
building design, requiring detailed
piping systems for potable water,
wastewater, rainwater, heating, and
cooling. MEP Designer allows designers
to size, for instance, a potable water
system, and then to export it to thirdparty
plumbing applications as a basic
3D isometric projection, allowing MEP
engineers to add information about the
building's drinking water requirements,
such as estimated simultaneous water
usage, minimum required, available
water pressure, pipe material, and water
temperature.
This is used to size all the pipes,
which can then be imported back into
MEP Designer and laid out as an
interactive schedule within a table.
Clicking any point or node in the table
opens the 3D plan, showing exactly
where it fits in the model.
And ventilation? It is as critical in HVAC
design as any other component. The AX
3000 add-on provides advanced
analysis to calculate the size of
ventilation systems modelled in MEP
Designer and to visualise the results.
The add-on performs pressure loss
calculations directly in MEP Designer,
showing easy-to-read tables listing air
pressures in each main and side web,
providing accurate hydraulic balancing.
Colour coding, again, enables users to
spot issues and identify where larger
ducts might be needed, taking possible
pressure loss and pipe material friction
into account, to produce another
optimal solution.
DDSCAD
While we’ve mainly focused on the
mechanical and pumping solutions in
MEP Designer here we haven't ignored
DDScad, which has been around for a
number of years and is an established
part of Graphisoft's HVAC solution. The
new features of the updated 2025
DDScad release include improved 3D
models for wall-mounted plugs and
sockets, and the installation of security
cameras cable trailers, and much more.
You can watch a video overview of
Graphisoft MEP Designer here:
https://youtu.be/V3s0CNnRXVY
January/February 2026 17
TECHNOLOGY focus
The Real AI Foundation
Building document intelligence starts with structure, not web-based models, as Zutec's Maria
Hudson explains
Maria Hudson - Group Chief Marketing
Officer, Zutec
The construction and asset
management sectors are entering
what is arguably the third major
technology shift in their digital evolution. The
first wave arrived with the move from paperbased
workflows to web-based systems,
introducing CDEs, online document
repositories and browser-accessible project
environments. The second wave came with
the widespread adoption of mobile
platforms, which moved inspections, data
capture and field coordination away from
the desktop and into the hands of site
teams and facilities managers.
Today, the industry is undergoing its third
major leap: the shift toward AI-driven
building document intelligence. Unlike
previous transitions, this one isn't simply
about digitising processes or improving
access to information. It is about enabling
machines to interpret building data,
understand assets on a deeper scale, and
support operational decisions at a scale
no human team could feasibly match. Yet
despite major advances in model
performance, cloud infrastructure and
automation, one constraint still sits
immovably in the way. AI cannot
compensate for fragmented, inconsistent
or poorly structured building information.
And as organisations push toward
machine-interpretable building document
intelligence, this underlying problem
threatens to undermine any AI initiative
without the right data model behind it.
Digital transformation leaders know that
fragmentation remains one of the industry's
most entrenched challenges. Many asset
owners feel they have already "gone digital,"
but digitisation alone does not deliver
operational intelligence. When O&Ms,
drawings, certificates, warranties,
specifications and inspection records are
scattered across CDEs, shared drives,
USBs, email chains and servers, the
organisation is still operating in a largely
analogue-in-digital-form state.
The inefficiency is significant. Studies show
that facilities staff spend one to two hours
every day searching for building information
(ARC Facilities), and that most
18
January/February 2026
TECHNOLOGYfocus
employees (80%) lose up to half an hour
per day retrieving data in environments
where information is poorly organised
(Asset Infinity). Across a large estate, this
drag on productivity compounds quickly
and influences everything from
maintenance response times to safetycase
preparation.
For AI, the problem runs even deeper.
General-purpose models cannot
determine which document is authoritative
when multiple versions could exist without
metadata. They struggle to connect
systems, components and zones when
naming conventions vary wildly. They
cannot identify relationships between
assets when those relationships are not
encoded into the underlying data. In these
environments, an AI system is forced to
guess. Sometimes it guesses well; often it
does not. The result is unreliable
intelligence born out of unreliable data.
It is precisely for this reason that asset
owners across the sector are now
investing not in AI tools first, but in their
data foundations. They are consolidating
information into governed environments,
introducing consistent naming
conventions, validating document sets and
applying metadata frameworks that allow
buildings to be represented in a machinereadable
way.
The benefits of this approach extend far
beyond tidier file structures. When
information is centralised and coherent,
users no longer rely on institutional
memory to locate critical documents. They
gain transparency over where information
comes from, how it has changed and
which version should be used. They can
move faster, with more confidence, and in
ways that support the Golden Thread
requirements now shaping the UK's
building safety regime.
The impact of good information
management becomes even more
apparent once buildings move from
construction into operation. Here, the
quality of the digital handover is often the
single biggest determinant of how easily a
building can be managed over its lifecycle.
For decades, handover has been treated
as an end stage administrative task, often
delivered under pressure and with
inconsistent validation. But as asset
owners with high-risk buildings (HRBs) are
now required to maintain accurate digital
records to meet the obligations of the
Building Safety Act, the handover is no
longer just a procedural output; it is the
point at which long-term safety, traceability
and operational reliability are either
enabled or constrained.
Contractors have a crucial role to play in
this shift. When information is captured,
validated and organised throughout the
project as a digital handover - rather than
assembled in a rush at practical completion
- the resulting handover is significantly
more structured, complete and
operationally relevant. Clear templates,
metadata rules and agreed folder
structures reduce ambiguity and ensure
that documents reflect the building as
actually delivered.
Contractors who take this approach not
only support their clients more effectively
but also differentiate themselves in a
market where digital maturity is becoming a
deciding factor in future work. Asset owners
are increasingly specifying digital handover
solutions as a requirement in their contracts
to ensure information is delivered in a
structured, standardised format. Zutec has
seen a marked rise in this demand as
organisations seek greater consistency and
traceability across their portfolios.
Once information is consolidated in this
way, the next generation of AI tools
purposely trained on building data can
finally operate as intended. These systems
go far beyond keyword matching or basic
search. They can read O&M manuals,
interpret drawings, understand asset
hierarchies and distinguish between
documents that look similar but carry very
different implications in practice.
Because they understand the relationships
between components, systems and
locations, they can answer operational
questions with a level of speed and clarity
that would otherwise require hours of
manual searching. A facilities manager can
ask for the warranty details of a lift or request
all fire-safety certificates expiring in the next
quarter, and the AI can return the correct
records, complete with source references
and version histories, in seconds.
The transformative potential here should
not be understated. Tasks that once
involved navigating multiple platforms,
digging through poorly named folders or
relying on long-serving colleagues'
memories become immediate and reliable.
Decision-making accelerates. Compliance
risk decreases. Visibility across the
lifecycle improves. And rather than merely
storing information, organisations begin to
leverage it, turning passive documentation
into active operational intelligence.
This shift is not restricted to new
buildings. Existing portfolios, often
burdened by decades of inconsistent
record-keeping, can also be brought into
AI-readiness through retrospective data
migration. By consolidating legacy
documentation into a structured
environment and identifying gaps that
need backfilling, asset owners can
transform old, fragmented archives into
comprehensive datasets that support
modern operational needs. Once unified,
AI can enrich these datasets further,
highlighting inconsistencies, surfacing
patterns and improving the reliability of
asset information over time.
As the industry moves deeper into its AI
era, one message is becoming
increasingly clear: the success of AI in
building document intelligence will not
hinge on out-of-the-box models but on the
quality of the information environments
they operate within.
Zutec's latest paper, The Data
Foundations for AI Driven Building
Information, explores this idea in depth -
showing that asset owners who focus on
building coherent, governed, machinereadable
data foundations will be the ones
who unlock meaningful value from AI.
While contractors who deliver structured,
validated handover information will
become essential partners in a lifecycledriven
industry that demands more than
traditional document dumps.
The third technological shift - from mobile
to AI - represents an extraordinary
opportunity for the sector. But that
opportunity can only be realised when the
foundations are solid. The future of AI in
asset management depends not on the
algorithms alone, but on the clarity,
continuity and completeness of the data
that feeds them.
https://zutec.com
January/February 2026 19
SOFTWAREfocus
SketchUp AI
SketchUp provides some welcome modeling, visualisation and help tools based on AI in its
latest release, writes David Chadwick
It was inevitable that Trimble's
SketchUp would take advantage of
AI like other leading architecture and
design applications, but also
interesting, having watched its
development from its initial entry into
the market as a direct 3D concept
design modeller through to its position
now as a sophisticated application
used by many architects and
engineers. The introduction of AI
extends its capabilities further,
providing some unique capabilities that
I have yet to see in other applications.
Trimble recently announced SketchUp
AI, designed to simplify modeling,
visualisation and navigation within its
own SketchUp ecosystem. The
powerful new features are designed to
fit seamlessly into SketchUp workflows,
enabling users to unleash more of their
creative ideas, reduce time-consuming
tasks, and to generally support
informed decision-making at every
stage of the design process. This is
facilitated by two powerful new tools, AI
Render and AI Assistant, that make it
easier for designers to transform ideas
into client-ready visuals in seconds.
AI RENDER
I found AI Render to be
most interesting, not least because of
some of its key features, but also
because of the terms of its use. It's a
generative AI image creation tool that
can speed up the creation of rendered
images using its AI capabilities. Its
simplicity hides the fact that each quick
modification to a rendered image
invokes a substantial amount of data
manipulation by its AI software.
Users' ambitions must therefore be
rationed, hence the use of a credit
system that limits their account to a
specified generation limit, depending
on its type and cost. It is not difficult to
keep track of how much you use, as
the on-screen renders can display the
credits available per month, and the
amount actually used.
As you would expect with SketchUp,
the generative AI image creation tool
allows designers to focus on creative
solutions without having to learn
complex rendering tools or relying on
other applications to refine or render
their 3D models. It was
initially tested within
the SketchUp
Labs
beta program and uses what was
known as SketchUp Diffusion, reflecting
the refinement processes that AI uses
to create digital images. Tidied up for
full release, it now includes a
redesigned interface and enhanced
controls, such as Reference Images,
Inpainting, and Negative Prompts.
As with every AI assisted application,
Designers interact with their SketchUp
model using a text prompt keying in
what they want it to display, or to use
AUTO, which comes with predefined
styles to create images in seconds,
from early concept designs and
inspiration to high-fidelity, realistic
client deliverables.
The text prompt also allows designers
to set the level of influence that each AI
suggestion responds to prompts with,
or to include a negative prompt that
defines what should not be included in
a design. AI will produce three creative
solutions in a gallery, allowing
designers to select the one preferred
for further attention by AI. Images
chosen within the gallery are tied to
the version of AI render. You can see
why the credit system is being
used, as designers could get
quite carried away by the
simplicity of it all, and the
speed of response.
As the rendering process
developers, designers can
compare the
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January/February 2026
SOFTWAREfocus
rendered image to the SketchUp
original on which it is based (although it
might be preferable to use two
displays), and the UIs can be displayed
in floating displays and toolbars on top
of the main SketchUp window for quick
and easy access.
Reference images are used by AI
Render to incorporate a designer's own
sketches into the rendering process,
even to the extent of making the
finished renders copy the style of the
designer's own images.
AI Inpainting gives the designer the
ability to play around with the details of
a render. It is a powerful feature that
can improve landscapes or individual
items, such as building components,
furniture, or even people, that require
targeted detailing, Using the Brush/Edit
tool, designers can highlight these
areas and apply prompts to describe
the desired changes, providing instant
realism and detailed interaction with the
rendered design. Red or green
paintbrushes or lassoes highlight the
item within the rendered image, either
to remove it from the render, or to
specify an alternative component.
AI ASSISTANT
SketchUp is well-known for its massive
database of building and component
designs created by SketchUp users -
aptly called 3D Warehouse. These can
be dragged into your designs as they
are, or as a base model for further
design, using the Trimble SketchUp AI
Assistant, or if nothing suitable is found,
to generate a 3D object using photoreal
2D images, or from text prompts.
Besides AI Assistant handling the role
of a chatbot that helps users navigate
and troubleshoot SketchUp 3D designs,
it can be used to create 3D geometry in
SketchUp. Generate Object, one of the
tools within AI Assistant, allows users to
turn 2D images or text prompts into 3D
objects in seconds, directly within
SketchUp. Users simply describe what
they want to create, provide one of their
own sketches as a prompt or drag a
photographic image into the interface,
and AI Assistant will use that to
generate the 3D object with full
parametric capability and BIM
attributes. This process eliminates the
manual steps typically required to
model furniture and other components
from scratch.
Describing the operation of AI
Assistant, Sandra Winstead, senior
director of Product Management at
Trimble said, "The design process
should feel intuitive, not cumbersome.
We are continually pushing the
boundaries of what's possible with AI.
By reducing time-consuming tasks and
lowering the barrier to entry for
modeling and visualisation, SketchUp
AI empowers professionals to explore
creative ideas more freely, work more
efficiently and make informed decisions
at every stage of the design process -
all within SketchUp."
FREE CREDITS FOR SUBSCRIBERS
Trimble SketchUp subscribers can start
using these AI capabilities today with
included free credits. The average
quantity of credits per account per
month is 200. A simple AI request to
render an image takes 1 or 2 credits,
and 5 for a full render. It's a generous
allocation, but designers regularly
hitting the limit will soon learn to
optimise their requests and pay more
attention to planning their designs,
although you can increase the credits
available per month by upgrading your
subscription in-product.
To purchase SketchUp, visit the
SketchUp website or the Apple App Store.
https://sketchup.trimble.com/en/plansand-pricing/sketchup-ai
January/February 2026 21
TECHNOLOGYfocus
A New Way of Operating
Understanding how construction and engineering projects are planned and executed is the key to
bidding for, controlling, and ultimately achieving successful outcomes
Operate is an operational ERP
platform developed by Metam, a
specialist technology and
consulting firm dedicated to the
Architecture, Engineering and
Construction (AEC) industry. While Metam
is often described as an ERP integrator,
Operate goes beyond traditional
integration by providing a purpose-built
operational layer that unifies and extends
leading enterprise systems such as
Microsoft Dynamics 365 Finance &
Operations, Business Central, alongside
other enterprise platforms where relevant.
As its name suggests, Operate focuses
squarely on the operational reality of
construction and engineering projects.
This contrasts with many conventional ERP
systems that tend to prioritise finance and
HR, often leaving operational teams to rely
on spreadsheets, disconnected tools and
manual processes. Operate is designed to
close that gap by placing project
operations, how work is planned,
executed, tracked and controlled, at the
centre of the system.
As Operate covers the full end-to-end
operational lifecycle of a project, it begins
well before execution, at the bid and
opportunity stage. It enables organisations
to manage leads, prospects and
opportunities in a structured way, capturing
not only commercial data but also the
operational context that determines
whether a project is worth pursuing.
Opportunities typically originate from sales
teams, who compile information on
potential projects. This includes why they
represent an opportunity, key contacts,
contractual responsibilities, competitive
context and the organisation's internal
readiness to deliver. Operate centralises
this information, including notes on
relationships, meeting history and
qualification status. Before a bid decision is
made, a comprehensive operational and
commercial picture is already in place,
supported by an AI agent, which helps
users analyse and contextualise the
information rather than simply store it.
Beyond individual projects, Operate
allows companies to analyse patterns
across their entire portfolio. The AI Agent
can identify relationships between projects,
recurring risks, client interactions or the
outcomes of similar bids. This crossproject
intelligence steadily enriches the
system, improving decision-making as
more data is accumulated.
FROM OPPORTUNITY TO BID
Once an opportunity has been qualified, it
can be converted directly into a bid project,
with all previously collected information
carried forward automatically. Images,
documents, client discussions, meeting
notes and historical context remain
attached to the bid, eliminating the
fragmentation that often occurs when
teams move between CRM tools,
spreadsheets and document folders.
Operate provides a single environment
where bid managers and project managers
can collaborate. Information that is typically
scattered across Excel files, emails and
shared drives is consolidated into one
operational CRM, acting as a one-stop
workspace for bid preparation.
Additional activities required to support
the bid, such as soil analysis, site
assessments or preliminary studies, are
recorded directly in Operate. All related
documents are stored in a structured
document registry, continuously feeding an
AI agent with relevant project-specific data.
This enables the generation of structured
RFP responses, deliverables and scope
definitions that are operationally grounded
rather than purely commercial.
Users can begin building the Work
Breakdown Structure and cost estimates
directly within the bid. Multiple quote
scenarios can be created for the same
opportunity, allowing teams to compare
alternatives. The AI agent learns from these
iterations, gradually refining its
recommendations. Over time, it can
support decisions such as identifying which
bid managers are best suited to specific
types of projects, for example
distinguishing between public-sector bids
and complex infrastructure work.
PROMPTING THE AGENT
A critical element of any AI-driven process
is asking the right questions. Operate
addresses this by using structured,
implementation-specific prompts that
combine predefined variables and criteria
aligned with the client's industry segment,
geography and operating model.
Construction projects are not only industryspecific
but also highly regional, with
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January/February 2026
TECHNOLOGYfocus
differing regulations, labour practices and
risk profiles.
This structured prompting ensures that
once a bid is approved, the information it
contains can be converted directly into an
operational project without rework. From
there, the WBS is refined, breaking down
activities, assigning teams and establishing
the planning framework.
The WBS can be structured in a tabular,
Excel-like format or represented in a more
traditional Gantt view, depending on client
preference. Phases, sub-phases,
mobilisation, site activities, construction
stages and handover can all be configured
to match how the organisation actually
delivers projects, rather than forcing teams
into a rigid template.
All data collected during the bid phase
remains available during execution. A
central document repository stores files and
images down to task level, with previews
and metadata indicating document type,
such as health and safety, delivery methods,
materials or compliance requirements.
Given the diversity of subcontractor
practices, Operate's subcontractor portal
allows project managers to correlate and
validate information provided by each
partner in a consistent way.
RISK MANAGEMENT
Every construction project carries risk,
including environmental, physical, financial,
contractual and operational risk. Operate
enables these risks to be assessed at both
project and task level, linking them to
required certifications, competencies and
controls. Environmental risks can be
flagged to support the selection of more
sustainable materials or to account for realtime
conditions such as weather extremes
or delivery constraints. Operational risks
can be embedded directly into tasks, such
as specifying machinery that carries
insurance limitations if used beyond
defined thresholds.
Metam's approach recognises that no AI
can account for every possible variable in a
complex construction environment.
Instead, the company embeds industryspecific
risk intelligence directly into
Operate, informed by the practical
experience of its consultants. This allows
stakeholders, including executives and
shareholders, to answer a critical question
at any time, namely 'what are we exposed
to on this project, and why?'.
CLIENT AND PROJECT PORTALS
From a project manager's perspective,
Operate provides immediate visibility into
active projects, margin performance and
operational status, with the ability to drill
down to any required level of detail. The
platform functions as a true end-to-end
operational system rather than a reporting
layer detached from day-to-day execution.
Clients and subcontractors also benefit
from dedicated portals. Subcontractors can
receive purchase orders on a tablet, phone
or laptop, with clear details on scope,
timing and payment. Timesheets and
progress updates can be submitted
directly, reducing delays between work
performed and invoicing.
For organisations operating on tight
margins, this real-time operational visibility
is critical. Operate reduces the lag between
activity, validation and financial recognition,
helping both contractors and
subcontractors manage cash flow and
performance more effectively.
WHO ARE METAM?
Metam is a Canadian company with a
global footprint. Headquartered in
Montreal, it also operates in Ireland, the UK,
the United States and most recently
Morocco and Tunisia. The company
specialises in business and operational
architecture for the AEC industry,
combining consulting, technology and
implementation services.
Led by CEO Houcine Jeljeli, Metam
positions itself as a consulting-led
technology partner rather than a traditional
software vendor. Its strength lies in the
industry backgrounds of its teams, many of
whom have firsthand experience with the
realities of construction, engineering and
project-based businesses. This allows
Metam to address persistent challenges
such as margin pressure, resource
constraints and workforce shortages with
practical, operationally grounded solutions.
Lead Consultant Guillaume St-Amour
acknowledges that no single system can
meet 100 percent of a client's needs out of
the box. That is precisely where Metam's
value lies, working alongside clients to
adapt processes, introduce new ways of
operating and tailor solutions like Operate
to match evolving business demands,
ensuring technology supports the business
rather than the other way around.
www.metam.tech/operate
January/February 2026 23
CASEstudy
Synchronised in 4D
Images courtesy of Mortenson | McCarthy Joint Venture
Mortenson & McCarthy leverage SYNCHRO to deliver a landmark luxury resort for Chula Vista's
bayfront area, using time-saving and advanced 4D construction planning
When the city of Chula Vista and
the Port of San Diego set out to
transform Chula Vista's bayfront
area into a world-class destination and
economic engine for the region, they
envisioned more than a hotel - they
envisioned a legacy.
Sitting on 36 acres of waterfront
property, the 2-million-square-foot
Gaylord Pacific Resort and Convention
Center is the cornerstone of that vision,
estimated to provide a USD 500 million
boost to the local economy. Mortenson
and McCarthy (M&M) partnered to
deliver the massive, resort-style hotel
and convention center, serving as the
centerpiece and catalyst for the Chula
Vista Bayfront Master Plan.
"The Gaylord Pacific Resort &
Convention Center will put Chula Vista
on the map and help it become a
destination point for everyone," said
Andrew Gibson, senior integrated
construction manager at Mortenson.
At the heart of this effort is a highly
motivated team of building professionals
committed to a jobsite culture that values
safety, teamwork, innovation, and
meticulous planning - crucial to meeting
the 36-month delivery schedule for this
mega hospitality initiative. The USD 1.3
billion resort features 1,600 premium
guest rooms, a 4.25-acre outdoor water
park with wave pool and lazy river,
unobstructed ocean views, 12 culinary
venues, and more than 477,000 square
feet of meeting and event space.
Designed and built on reclaimed property,
protecting wildlife and natural sanctuaries,
with over 80% of the workforce sourced
locally, and estimated to generate 4,000
permanent jobs, the project demonstrates
its commitment to environmental and
social sustainability. "This project will be a
beacon for tourism in Chula Vista for
decades to come," said Andrew Corson,
project executive for M&M.
TRICKY SEQUENCING, COMPLEX
LOGISTICS, EARLY TURNOVER
Located on brownfield land amid
industrial areas, demanding sensitive,
eco-friendly design and construction
solutions to reduce the development's
footprint, the project presented planning,
coordination, and logistics challenges to
meet the tight delivery timeline.
"Planning the construction sequence of
both the hotel tower and the convention
center was tricky," explained Gibson.
M&M needed to coordinate two distinct
structures - a concrete hotel tower and a
steel convention center - linked by an
expansion joint. It was critical that the
team create a detailed schedule and
robust 4D model to communicate and
visualise the sheer size and integration
of the building structures, so that craft
partners could better understand the
resources and plans required within the
project footprint.
"The other challenge was being able to
turn over the first three floors four
months prior to project completion in
order to allow the hotel staff and team to
start honing operations so processes
were running smoothly by the time the
hotel opened," emphasised Gibson.
24
January/February 2026
CASEstudy
This requirement introduced additional
sequencing and site coordination
difficulties. M&M needed to determine
how to provide safe access to the
customer while construction was
ongoing on the upper floors and
convention center.
Managing a project of this scale - while
meeting the early turnover requirement
and maintaining on-site safety - required
deep involvement from all teams and
clear visibility into how each trade's work
impacted others. M&M was challenged
to think differently. They knew that for a
project of this complexity, an advanced
digital construction solution would be
imperative for a successful outcome.
LEVERAGING SYNCHRO FOR 4D
PLANNING, COLLABORATION,
AND SAFETY
M&M selected SYNCHRO to manage
their planning and execution strategy,
developing a proactive, collaborative
scheduling approach and robust 4D
model to visualise construction
sequencing, coordinate between the
concrete tower and steel convention
center, and communicate logistics to
craft partners. They made SYNCHRO
mandatory across all project teams and
provided training to ensure consistent,
effective use. This fostered deeper
engagement and improved
understanding of how each trade
impacted others.
"This proved to really create a team
mentality, as we were able to showcase
the work in 4D to confirm or poke holes
in the logic and then work together to
figure out the best possible solution for
both the trade and the project as a
whole," explained Gibson.
The team added to the overall 4D
model by developing a specific model
for the interior space, including framing
and mechanical and electrical
equipment. This provided visual insight
for craft workers to understand their
working space and facilitated planning
of the interior logistics, including
sequencing of works and material
staging, to know when, and if it was
conducive for, multiple craft workers to
be working in the same area.
"After participating in the pull plans and
utilising the 4D [model], it was crystal
clear what the expectations were and
what they agreed to," stated Gibson.
Together, the models supported
hundreds of meetings, including more
than 800 plan-of-the-day sessions, to
guide decisions and track progress.
Finally, with an unwavering dedication
to avoiding workplace danger, M&M
implemented a variety of safety
initiatives, including utilising SYNCHRO
to model scaffolding and fall protection
systems to identify and mitigate risks
early. "We also had a breakthrough in
getting our safety professionals involved
with the 4D model," said Gibson.
This enabled the entire team and craft
workers to visualise and collaborate
virtually to ensure all works were safely
coordinated.
A NEW BENCHMARK IN DIGITAL
CONSTRUCTION DELIVERY
Over the course of the project, more
than 32 companies and 200 people were
introduced to and benefited from
SYNCHRO. The 4D models facilitated
collaboration among team members,
reducing misunderstandings and
conflicts, which promoted a unified and
cohesive approach to construction.
Working in Bentley's 4D digital
construction environment improved
planning and coordination by linking 32
million geometry pieces to over 36,000
activities. M&M's entire team, and all
outside parties and stakeholders, were
able to realistically and tangibly visualize
the construction process. This
streamlined workflows and improved risk
management, enabling the team to
deliver the large-scale resort in 34
months, two months ahead of the 36-
month budgeted timeline.
"We were not only able to hit a majority of
our scheduled activity dates, but, in a lot
of cases, were able to speed up the work
and beat the durations," emphasised
Gibson. "Spending the time on taking the
overall 4D and interior 4D to such levels of
detail proved to be a winning combination
for our team," he added.
By doing monthly schedule updates,
the team was able to track and validate
planned-vs-actual progress,
demonstrating not only the efficiency
and productivity gains of 4D planning in
SYNCHRO, but also award-winning
safety performance on a project with
nearly 4 million hours logged and over
7,000 craft workers involved.
"We beat the schedule on enclosure by
one floor, concrete decks by two floors,
prefab panel install by two floors, and
safety net and scaffolding logistics were
planned and executed two floors ahead,"
concluded Gibson.
The software is now standard practice
for M&M's sports operating group and
was critical to completing the west
coast's largest hotel project six weeks
early, setting a new benchmark for digital
construction delivery and better
coordination and visibility within large
project teams.
www.bentley.com
January/February 2026 25
CASEstudy
AI needs your help!
Kenny Ingram, VP of C&E, IFS, and Chris Knight, Global Industry Director, C&E, IFS explain why AI
requires a solid digital foundation if it is to succeed
Kenny Ingram
While some industries have spent
recent years sprinting toward
digital maturity, construction and
engineering is only just crossing the
threshold as the benefits of automation
and Industrial Artificial Intelligence
become impossible to ignore.
Faced with tightening margins and
complex global pressures on materials
and labour constraints, construction &
engineering firms are having to overhaul
their traditional value propositions to stay
competitive. This is pushing construction
and engineering organisations to look to
Chris Knight
AI-enabled technology to work more
effectively within these constraints.
Statistics from the Royal Institution of
Chartered Surveyors found that, in 2025
"Despite the increasing attention on AI
within the construction sector, actual
adoption remains limited. Approximately
45% of respondents reported no AI
implementation in their organisations, while
another 34% are in early pilot phases,
highlighting cautious experimentation rather
than widespread operational use. This
tentative approach suggests the industry
recognises AI's potential benefits but
remains uncertain about scalability,
integration or business value."
As 2026 unfolds, the construction sector
is reaching a critical tipping point where AI
and connected data move from the
periphery to the core of business
operations. But clearly, as these
innovations are scaled, a fundamental
issue remains - AI is only as powerful as
the digital foundation it sits on.
To move from a pilot programme to
enterprise-wide success, leaders must
first master the essential building blocks of
digital transformation. AI just cannot reach
its transformative potential to reshape
construction workflows, scale project
management, and empower intelligent
decision-making, without a resilient digital
backbone, and the construction industry is
waking up to the fact.
THE BUILDING BLOCKS OF DIGITAL
CONSTRUCTION
One of the biggest trends we saw
throughout this past year was the rapid
adoption of modern Enterprise Resource
Planning (ERP) platforms that serve as
digital backbones across organisations. Our
Censuswide industry research study found
that 63% of construction and engineering
companies planned to adopt a new ERP
system in the next one to two years.
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January/February 2026
CASEstudy
A key motivation for the search for a new
ERP system is the need for greater agility,
allowing companies to better expand and
develop. This aligns with the survey
respondent short-term and long-term
priorities: 39% see business growth and
market value as key long-term goals, while
30% focus on improving digital maturity
and using data more effectively.
Interesting, this modernisation statistic
has proven to be underestimated. In terms
of how many companies are embarking
on digital transformation projects, nearly a
year after making these predictions, we
realise that the optimism around the role
of AI being able to reshape workflows,
project management, and intelligent
decision-making, is fueling a greater
desire to adopt a future-proof ERP
platform. ERP software helps to streamline
processes, from the planning stage to
completion. It allows for better
communication between stakeholders and
offers improved project management
capabilities. It is seen as the springboard
for scalable, trusted AI deployments.
AI IS HIGH ON THE PRIORITY LIST
The latest IFS research study "The
Invisible Revolution", which surveyed
more than 300 senior executives from
leading construction & engineering firms
in May and June of last year, found that
the sector is expected to become one of
the most AI-first industries in 2026.
Momentum is clearly building, with 91%
of firms expecting to increase AI
investment in 2026.
One of the greatest benefits of AI that we
discuss is its ability to analyse and collate
data in a much faster way. This gives all
their employees - from workers on the
construction site to senior management in
the back office - more accurate,
predictable and reliable information.
RECLAIMING CAPACITY - AI
AUTOMATES THE ADMINISTRATIVE
BURDEN
The most practical example of how this
enhanced and automated information
gathering and analysis can benefit
construction industry organisations is
related to the enormous amount of time it
takes to prepare their regular board
presentations on project performance.
Most companies host interdepartmental
meetings monthly with all the senior
leaders from each of their divisions.
Typically, each team of people takes days,
if not weeks, to prepare their data by
gathering information across multiple
software solutions.
Industrial AI gives construction &
engineering organisations more trusted
control of their business by removing the
unreliability and inconsistency of human
guesswork, making it faster and easier to
gather, analyse, and report on every
dimension of project performanceincluding
profitability, timeline delays,
budget overruns, cost forecasting, safety
incidents, quality, and more.
Ultimately, leveraging Industrial AI to
enhance reporting and data sharing
across the organisation reduces business
risk and delivers greater control over
project results.
This is reflected by the key findings in the
RCIS study, where professionals surveyed
believe AI could significantly improve
several aspects of construction projects.
The top five ranked project functions
where AI could have high positive
significance were: progress monitoring
and project scheduling (both 36%),
resource optimisation (30%) and reviewing
contracts and project documents (30%)
and risk management (29%).
THE KEY METRICS BEHIND AI
SUCCESS
These benefits are clearly resonating
across the industry. The latest IFS
research study found that the biggest
applications of current AI deployments
across construction & engineering firms
were project delivery (62%) and business
intelligence (59%). Out of these early
adopters who are currently deploying AI,
companies are already seeing these
benefits: 89% report profitability gains, and
44% outperform the cross-sector average
in operational efficiency, 42% in supply
cost reduction, and 36% in lowering
project expenditures.
With the growing economic uncertainty
across the globe, the most impactful
benefit of Industrial AI for this industry is
giving companies greater control over
project management. Out of all other
industries, the project-centric nature of
construction & engineering businesses
makes them most at risk of diminishing
and/or unpredictable profit margins in
volatile and disruptive markets.
Perhaps this is why the latest AI research
shows that construction & engineering
firms anticipate AI's greatest benefits in
project delivery (41%) and increased
profitability (36%).
DIGITALLY DESIGNING THE
INDUSTRY OF TOMORROW
It is clear to see over the last 12 months
the construction sector digital evolution
has outpaced even the most optimistic
forecasts. AI is here to provide tangible
advantages, but the sector reached a
point where the modernisation of aging
ERP systems is no longer a luxury, but a
strategic prerequisite for deploying
Industrial AI.
There is a huge opportunity for this
sector to integrate industrial AI into
construction and engineering operations,
but organisations need to take the
necessary steps in modernising their
technology stacks. The construction
industry often has a wait-and-see attitude
towards technology, hoping that others
will take the first step. This makes
strategy a crucial element when
implementing new technologies.
Companies that are more advanced in
their digital transformation have an
edge, but it is not just about the right
tools. It's about implementing, using
and making the most of the data flowing
through the business. No wonder RCIS
stresses that "meaningful adoption will
require companies to take coordinated,
well-communicated and intentional
action supported by a clear,
coordinated roadmap."
By clearing away technical hurdles,
construction & engineering firms are
securing the level of project oversight,
efficiency, and productivity necessary to
thrive. The ultimate result of this shift is an
industry that is more agile, dataconnected,
and durable - ready to
fundamentally transform the way global
infrastructure is designed and delivered.
www.ifs.com
January/February 2026 27
CASEstudy
Going Live
The University of Liverpool enhances its operational performance and energy management
with IES Live
IES Live was installed on a University
of Liverpool campus building to
improve operational energy
performance and assess the impact of
an implemented HVAC refurbishment.
The University of Liverpool is the first
project to use the new IES Live
tool, which connects live data
from a building's BMS,
energy meters and
sensors to a
performance
digital twin
of the building, and gives the facilities
management team a single pane view
of operational performance metrics via
the cloud. It enables both advanced
energy and carbon management of the
building and live tracking and
verification of savings made from a
recent HVAC refurbishment undertaken
on the building.
In order to set up IES Live, a
calibrated energy model that had been
created in an earlier phase of the
project using historic monthly
measured data was upgraded into a
digital twin using live hourly BMS and
metered data from the building post
refurbishment.
In this earlier phase 1, the IES Virtual
Environment (IESVE) building
performance modelling software was
used to create an initial energy model
representing energy flow across
spaces and rooms within the building.
The model was then calibrated against
monthly measured data for 2019 (precovid)
to create a performance digital
twin, allowing the prediction of the
baseline energy use and testing of
28
January/February 2026
CASEstudy
refurbishment options. After testing a
number of refurbishment options on
the model the digital twin predicted
14% estimated energy savings from the
chosen HVAC refurbishment.
Once phase 1 was complete and the
building was reopened after
refurbishment, the University appointed
IES to upgrade the Performance digital
twin to make it even more accurate by
including operational insights gathered
from the newly reopened building. This
was done by connecting live data from
the BMS and energy meters to the
digital twin, which enabled the model
to be recalibrated to match current
measured data on an hourly basis.
This upgraded digital twin was also
used to look at further potential
interventions to improve the operational
performance of the building and move
towards decarbonisation, helping to
create a long-term roadmap view and
plan of decarbonisation interventions.
The university's facilities management
team is also now using this operational
performance digital twin, accessed via
IES Live, to continually monitor and
improve the building. Benchmarking
against the simulated baseline, the
university can track performance and
gain improvement insights for energy,
carbon, and comfort. Additionally, the
ongoing impact of the refurbishment is
being measured and verified.
Using the IES Live "Implemented
Projects" tracking page, it was possible
to assess and verify in real time the
impact of the HVAC refurbishment:
between February 2023 and May 2025,
it has led to a 20.95% reduction in
energy consumption and £50k saving
in operational cost. The difference from
the predicted savings in Phase 1 can
be ascribed to the improved accuracy
of the latest model used to evaluate the
actual savings.
IES Live is also helping to prevent
operational drift on the building,
whereby the performance of building
systems degrades over time, as any
issues will be flagged and can be fixed
before they begin to have an impact.
Replicable across the campus, the
university is creating digital twins for
another part of the Foundation Building
- the Wing - as well as three other
facilities: the Central Teaching Hub, the
Materials Innovation Factory (MIF) and
the Yoko Ono Lennon Centre.
Energy audits have been carried out,
with suggested interventions, and
digital twins will be used to model
interventions. The university is using
IES Live to assess the effectiveness of
interventions already taken and to
predict the impact of potential
changes. At MIF, the software shows
that a photovoltaic (PV) installation
has cut energy use by 1.09% and
saved £20,850 for the two years up to
13 May 2025.
An exciting development is the
scenario modelling being done at the
university's district heating system. IES
has simulated six energy-conservation
measures and potential energy saving,
including fabric upgrades, distribution
loss improvements and boiler
replacements.
The savings - which range from 3.3%
from thermal storage to 43.1% for
boiler replacement without combined
heat and power - represent significant
opportunities for the university.
Ruth Kerrigan, Chief Operating Officer
at IES, said: "Improving the operation
of buildings is key to mitigating energy
and climate risk, cutting costs and
emissions, meeting sustainability
objectives and increasing resilience,
not to mention being a vital part of a
successful net zero strategy.
"However, you can't improve what you
can't measure and there was a gap in
the market for a tool that can connect
live operational data, providing
continuous insights and giving energy
management teams a holistic view of
how their building is performing.
"IES Live is a real game-changer,
maximising the impact of a digital twin
which leverages a world-class
simulation engine and placing this
power in the hands of those who need it.
"It's been a pleasure to work with the
University of Liverpool to pilot IES Live
and enable them to evaluate the
effectiveness of their retrofit measures,
verify predicted results and allow
informed decisions to be made on
building improvements. We look
forward to replicating the work across
the campus."
Tony Small, Head of Engineering
Services at the University of Liverpool,
said: "Working with IES on this project
has given us detailed insight into the
impact of our refurbishment work and
will enable us to continually monitor
and update our operational systems
to ensure that the building is
operating efficiently.
"With building use, occupants and
settings altering frequently, having
access to this level of data means we
can make informed decisions on
improvements and ensure optimum
performance doesn't come at the
expense of occupant comfort."
www.iesve.com
January/February 2026 29
CASEstudy
Immersive Technology
An interactive learning environment which houses an advanced learning space within a living
laboratory is planned for Stowe School in Buckingham
The DTE building at Stowe School is
an inspiring and sustainable
educational facility located within
the historic, Grade 1-listed grounds of
Stowe House in Buckingham. Designed
to support advanced robotics,
manufacturing, and engineering
education, the £5.9 million project is
redefining how a building itself can
actively support curriculum delivery.
On behalf of Beard Construction, BKHS
were selected to deliver an innovative
timber solution, combining 108.237m³ of
glulam beams, 2,042m² of Cross
Laminated Timber (CLT) panels, and 46
tonnes of ground-floor steel grillage. The
expert project team included architects
Design Engine, structural engineers
Buro Happold, specialist timber
engineers Engenuiti, and CLT
manufacturer Stora Enso.
The collaborative result is a visually
expressive, low-carbon, two-storey
facility that functions not only as a highquality
learning space but also as a
living laboratory; with visual elements
allowing students to explore and
engage with the building's engineering
principles first-hand.
Aligning with Stowe's vision to become a
leader in STEM education, the DTE
building celebrates construction
transparency. Exposed CLT and glulam
structural elements are left purposefully
exposed and visible throughout, with
mechanical and electrical systems
(including ductwork, pipework and cabling)
colour-coded and surface-mounted,
enabling students to observe and explore
the inner workings of the building.
The highly aesthetic quality of visualgrade
timber, afforded by precision
manufacturing, has been embraced as
part of a broader biophilic approach that
30
January/February 2026
CASEstudy
elevates both the learning environment
and student wellbeing. The exposed
elements left no margin for error,
meaning that detailing, fabrication,
installation sequencing and coordination
had to be rigorously aligned and
precisely executed.
Lee Roberts, Pre-Construction Director
at BKHS, said: "We are delighted to have
delivered Stowe School's new DTE
building in collaboration with our project
partners. Every detail, from structural
timber connections to sequencing
logistics, was carefully considered to
meet the highest environmental and
aesthetic aspirations for the client.
BKHS and Beard Construction worked
closely to minimise disruption for staff
and students and align with school term
times. All components were delivered to
site via dedicated routes to help protect
sensitive infrastructure within the
grounds while streamlining the overall
construction phase."
Precision was critical to the project's
success. For the timber elements, a
frozen IFC model ensured that all
service penetrations were pre-cut to
millimetre tolerances in the factory,
improving installation accuracy while
reducing material waste. Each element
was coordinated for sequential delivery
and erected quickly via designated
access routes.
Environmental performance was a
guiding principle throughout the design
stages, and the building was conceived
with its entire lifecycle in mind. At RIBA
Stage 2, Buro Happold assessed four
structural options and identified that an
all-timber solution would reduce
embodied carbon by approximately 75%
compared to a concrete-based frame.
In total, the 476m3 of PEFC-certified
timber delivered for the project ultimately
sequestered 360 tonnes of CO2e, and
through sustainable harvesting and
responsible management of European
forests, the timber will have been
replaced by new growth in just 1 minute
and 44 seconds. The structural timber
elements are also fully demountable,
supported by helical steel screw piles
and dry screed systems, which allow the
building to be dismantled at end of life
or reconfigured as the school's
educational needs evolve.
Alex Brock, Pre-Construction Manager
at BKHS, said: "Timber is increasingly
shaping the future of educational
environments, not just for its sustainable
credentials, but for the way it actively
enhances the learning experience. At
Stowe School's new DTE building, the
exposed glulam and CLT structure
doesn't just support the building, it
supports the curriculum, turning the
space itself into an interactive
educational tool.
"This kind of transparent construction
invites curiosity, encourages
engagement with engineering principles,
and fosters wellbeing through natural
materials. It's a compelling example of
how timber can deliver highperformance,
low-carbon solutions that
educate and inspire."
As a flagship facility for the school, the
DTE building has already received
enthusiastic feedback from staff and
students alike. Martin Quinn, Head of
Design & Technology at Stowe School,
said: "The new DTE building has
transformed the way our students learn.
The workshops are brighter, more
vibrant, and provide an inspiring space
where students can create and
showcase their work. With this facility,
Stowe is now firmly positioned as the
'go-to' destination for future engineers,
designers, and architects."
Stowe School's new DTE building sets
a precedent for low-carbon, educational
architecture - where timber technology,
offsite manufacture and circular
economy principles have combined to
shape not only the building's design,
but its function as an evolving
educational tool.
As timber continues to redefine how
educational spaces are conceived and
constructed, B&K Hybrid Solutions
stand at the forefront of this movement.
Their expertise in timber and hybrid
solutions, precision offsite manufacture,
and seamless project coordination has
not only delivered an architecturally
striking and environmentally
responsible building, but one that
reinvents how students learn and
interact with their surroundings.
The DTE building at Stowe School
exemplifies BKHS' commitment to
pushing the boundaries of low-carbon
design, showcasing how timber
construction can support a school's
vision, curriculum, and sustainability
goals, while setting a new benchmark for
what educational buildings can achieve.
To learn more about B&K Hybrid
Solutions, visit:
www.bkhybridsolutions.co.uk
January/February 2026 31
YOUR GUIDE TO
5
7
3
1
2
21
22
23
24 20 25 26
27
29
SCOTLAND
FIFE 1
GlenCo Development
Solutions
Contact: Jack Meldrum
Tel: 01592 223330
Fax: 01592 223301
jackm@glenco.org
www.glenco.org
ACMK
ABERDEENSHIRE* 2
Symetri Ltd.
Tel: 0345 370 1500
info@symetri.co.uk
www.symetri.co.uk
ABCDEGHIJKLMNOPQSTX
Larbert 3
30 28
19
15 11/16
6
13
17
9/10
18
12/14
*Location guide
not 100% accurate
TMS CADCentre
7 Central Park Avenue
Central Park
Larbert
FK5 4RX
Tel: 01324 550 760
info@tms-scotland.com
www.tms-scotland.com/autodesk
ACELHNO
IRELAND
DUBLIN 5
Paradigm Technology Ltd
Contact: Des McGrane
Tel: +353-1-2960155
Fax: +353-1-2960080
dmcgrane@paradigm.ie
www.paradign.it
ACMGKL
SOUTHWEST
NEWBURY 6
RWTC Ltd
Contact: Richard Willis
Tel: 01488 689005
Fax: 01635 32718
richard@rwtc.co.uk
www.rwtc.co.uk
A M
N.I
BELFAST 7
Pentagon Solutions Ltd
Contact: Tony Dalton - Training
Services Manager
Tel: +44 (0) 2890 455 355
Fax: +44 (0) 2890 456 355
tony@pentagonsolutions.com
www.pentagonsolutions.com
ACDEGKL
TRAINING COURSES OFFERED KEY:
AUTOCAD AND LT:
AUTOCAD P&ID TRAINING:
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REVIT:
VAULT FUNDAMENTALS
AUTODESK VAULT FOR INVENTOR USERS
A
B
C
D
E
F
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VISUALISATION:
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INVENTOR PUBLISHER:
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AUTODESK SIMULATION:
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AUTOCAD ELECTRICAL:
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L
M
N
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P
Q
R
S
T
X
For further information about authorised CAD training or to advertise on these pages please contact:
Josh Boulton on 01689 616 000 or email: josh.boulton@btc.co.uk
SOUTH/EAST
HERTFORDSHIRE 9
Computer Aided
Business Systems Ltd
Contact: Gillian Haynes
Tel: 01707 258 338
Fax: 01707 258 339
training@cabs-cad.com
A C D E K H
BUCKINGHAMSHIRE 10
Causeway
Technologies Ltd
Contact: Sue Farnfield
Tel: +44 (0)1628 552134
Sue.Farnfield@causeway.com
www.causeway.com
A C D E K
BERKSHIRE 11
Cadpoint
Contact: Clare Keston
Tel: 01344 751300
Fax: 01344 779700
sales@cadpoint.co.uk
www.cadpoint.co.uk
A C D E K
ENFIELD* 12
TRAINING
BERKSHIRE 16
Mass Systems Ltd
Contact: Luke Bolt
Tel: 01344 304 000
Fax: 01344 304 010
info@mass-plc.com
www.mass-plc.com
A E F
HAMPSHIRE 17
Universal CAD Ltd
Contact: Nick Lambden
Tel: [44] 01256 352700
Fax: [44] 01256 352927
sales@universalcad.co.uk
www.universalcad.co.uk
A C M E K H
MILTON KEYNES 18
Graitec - Milton Keynes
Contact: David Huke
Tel: 01908 410026
david.huke@graitec.co.uk
www.graitec.co.uk
ABCDEGHIJKLMNOPQSTX
CAMBRIDGE 19
THE NORTH
MANCHESTER* 20
Symetri Ltd.
Tel: 0345 370 1500
info@symetri.co.uk
www.symetri.co.uk
ABCDEGHIJKLMNOPQSTX
NEWCASTLE* 21
Symetri Ltd.
Tel: 0345 370 1500
info@symetri.co.uk
www.symetri.co.uk
ABCDEGHIJKLMNOPQSTX
YORKSHIRE 22
Graitec Bradford
Contact: Isobel Gillon
Tel: 01274 532919
training@graitec.co.uk
www.graitec.co.uk
ABCDEGHIJKLMNOPQSTX
NORTH EAST 23
Graitec - Durham
Contact: Isobel Gillon
Tel: 0191 374 2020
training@graitec.co.uk
www.graitec.co.uk
ABCDEGHIJKLMNOPQSTX
LANCASHIRE 24
QUADRA SOLUTIONS
Contact: Simon Dobson
Tel: 01254 301 888
Fax: 01254 301 323
training@quadrasol.co.uk
www.quadrasol.co.uk
A C M K
YORKSHIRE* 25
Symetri Ltd.
Tel: 0345 370 1500
info@symetri.co.uk
www.symetri.co.uk
ABCDEGHIJKLMNOPQSTX
SOUTH YORKSHIRE 26
THE JUICE GROUP LTD
Contact: Sarah Thorpe
Tel: 0800 018 1501
Fax: 0114 275 5888
training@thejuice.co.uk
www.thejuicetraining.com
A C D E K R
Symetri Ltd.
Tel: 0345 370 1500
info@symetri.co.uk
www.symetri.co.uk
ABCDEGHIJKLMNOPQSTX
Symetri Ltd.
Tel: 0345 370 1500
info@symetri.co.uk
www.symetri.co.uk
ABCDEGHIJKLMNOPQSTX
SOUTHHAMPTON 13
Riverside House, Brunel Road
Southampton, Hants. SO40 3WX
Contact: Isobel Gillon
Tel: 02380 868 947
training@graitec.co.uk
www.graitec.co.uk
ABCDEGHIJKLMNOPQSTX
CONTRAL LONDON* 14
Symetri Ltd.
Tel: 0345 370 1500
info@symetri.co.uk
www.symetri.co.uk
ABCDEGHIJKLMNOPQSTX
OXFORDSHIRE 15
MIDLANDS
NOTTINGHAM 27
MicroCAD - Nottingham
Contact: Isobel Gillon
Tel: 0115 969 1114
training@graitec.co.uk
www.graitec.co.uk
ABCDEGHIJKLMNOPQSTX
NORTHAMPTONSHIRE 28
AIT Spatial Ltd
Contact: Philip Madeley
Tel: 01933 303034
Fax: 01933 303001
training@aitspatial.co.uk
www.aitspatial.co.uk
A C D E F G K L
BIRMINGHAM 29
CHESHIRE 30
Excelat CAD Ltd
Contact: Vaughn Markey
Tel: 0161 926 3609
Fax: 0870 051 1537
Vaughn.markey@ExcelatCAD.com
www.ExcelatCAD.com
B N
Man and Machine
Contact: Robert Kenny
Tel: 01844 263700
Fax: 01844 216761
training@manandmachine.co.uk
www.manandmachine.co.uk
A D I J M N O P Q X
Armada Autodesk
Training Centre
Contact: Steven Smith
Tel: 01527 834783
Fax: 01527 834785
training@armadaonline.co.uk
www.armadaonline.co.uk
A D E M K H
CASE study
Building for the future
Sensational and sustainable - how BIM builds a lasting legacy
Legacy is perhaps an overused word
when it comes to the Games. Many
cities are still feeling the after-effects
of hosting them, with accusations of 'white
elephant' stadia, in particular, a stark
reminder of the financial and
environmental cost of poor planning. Even
after 20 years, reports indicate that Athens
is still struggling with abandoned
buildings, while in Rio de Janeiro it has
taken eight years to finally start delivering
on some of its legacy promises.
In 2022, London came under some
criticism for its legacy efforts to regenerate
the area around the Queen Elizabeth
Olympic Park. The point is that hosting the
Games is expensive and challenging,
especially when it comes to stadia and
infrastructure. But, with Milano Cortina 2026
due to start soon, it's worth reflecting on
how BIM technology can help realise a
more sustainable Games, using the
Athletes' Village at Paris 2024 as a positive
example of what can be accomplished.
PLANNING FOR THE FUTURE
Large international events often require fast,
temporary infrastructure with limited longterm
value. For the Paris Athletes' Village,
for example, the challenge was to deliver
facilities for the Games while ensuring the
site could transition smoothly into a
permanent residential and mixed-use
neighbourhood afterward.
Supported by Nemetschek Group's
Graphisoft Archicad, the design teams
planned both phases in parallel from the
earliest stages. By embedding future use
into initial design decisions, the project
avoided short-term solutions and reduced
the need for major reconstruction once the
event concluded.
BETTER WITH BIM
In this case, the BIM-based workflows
enabled architects to develop and
compare multiple design scenarios across
different project phases. Renovation filters
helped clearly identify which elements
would remain, be adapted, or be removed,
supporting precise planning and efficient
material use. Coordinated digital models
allowed teams to align design,
construction, and long-term operational
needs throughout the lifecycle.
That all points to the essence of
digitisation; as the construction of stadia
has moved into a new era, where
sustainability demands vie with cost
constraints to produce venues that meet
multiple challenges, the need for
digitisation and automation is increasingly
apparent. Managing complex supply
chains, from materials through to project
timing, and focusing on meeting those
challenges demands accuracy,
transparency, and flexibility.
Through BIM's ability to organise and
standardise data, digital twins become
possible, enabling developers to enhance
visibility, increase efficiencies and deliver
data-driven insights for all stakeholders in
the stadium development process. As Paris
2024 was committed to being a model for
low-carbon Games, the ability to visualise
stadia digitally and develop a lifecycle plan
became even more crucial.
HEARING ALL VOICES
But while technology can now play an
essential role in pointing to and then finetuning
how to make buildings more
sustainable, it only has a partial role in
ensuring a building's legacy. That can only
be assured from designing the building
with legacy in mind from the outset, and
with valuable input from all stakeholders -
local authorities, private and public sector
organisation as well as citizens - who will
have to 'live' with the resulting building on
their doorstep for years to come. What they
want or need from the building post-event
must be considered if a meaningful legacy
is to be assured.
WINNING WITH WISDOM
The Paris Athletes' Village serves as a
sustainability showcase because it was
designed from the outset for both the
Games and long-term residential use, thus
avoiding temporary construction with no
future purpose. The early alignment with
Paris planning and sustainability frameworks
ensured compliance was built into design
decisions rather than addressed later.
Parallel design scenarios enabled early
evaluation of design choices, supporting
informed trade-offs before construction
began, while precise planning and scenario
testing limited overbuilding and reduced
the need for demolition after the event,
resulting in a reduction in the consumption
of materials. The use of durable,
prefabricated materials was selected to
support adaptability and long-term use
beyond the Games, while low-carbon
energy systems were integrated to support
efficient operation in the project's
permanent phase.
By integrating future use into the design
process, the project minimised material
waste and avoided large-scale post-event
demolition. Buildings were delivered on
schedule and transitioned efficiently into
their legacy phase, providing lasting value
for the city beyond the Games.
The Athletes' Village demonstrates how
early, data-driven design decisions can
transform event infrastructure into long-term
urban assets, shaping tomorrow by making
the right choices today. That focus on longterm
sustainability carries over to Milano
Cortina 2026, ensuring a legacy that
extends beyond the buildings it informs.
www.nemetschek.com
34
January/February 2026
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