Artificial intelligence is no longer a fringe topic in the architecture, engineering, construction and operations (AEC/O) industry. It is rapidly becoming a defining force in how we design, build and operate the environments that shape everyday life, writes Julian Geiger, VP head of AI product & transformation at Nemetschek Group
What began as theoretical exploration and high-profile demonstrations has now entered a new phase, one in which AI must prove its value through practical, scalable application.
The question is no longer whether AI can work but how it can deliver measurable impact across entire portfolios of assets, not just within isolated showcase projects.
At Nemetschek, we believe the true promise of AI is not demonstrated by a single spectacular case study. It is proven through consistent, enterprise-wide outcomes. And that represents a fundamentally different challenge.
From showcase to scale
Flagship projects, iconic buildings, digital twin demonstrations and generative design experiments play an important role. They capture imagination and help professionals understand what is possible.
But real transformation in AEC/O will not come from isolated excellence. It will come from systemic performance improvement, applied across thousands of assets, multiple market segments and the full lifecycle of the built environment.
Most organisations do not manage one bespoke project at a time. They manage portfolios: combinations of commercial buildings, public infrastructure, industrial facilities, campuses and housing stock. These portfolios represent the greatest opportunity for AI, and its greatest test.
To unlock that opportunity, AI must move beyond novelty and become a reliable, embedded and repeatable capability. It must support leaders in answering questions that matter at scale: which projects consistently underperform, where investment should be prioritised, how design, engineering, scheduling, materials and staffing can be improved across many sites, and which risks can be anticipated rather than addressed reactively. These are not project-level questions; they are portfolio-level decisions.
Why portfolio-level AI matters
Portfolio workflows are essential to unlocking meaningful AI value in the AEC/O industry. Unlike traditional project-based workflows that focus on a single building or asset, portfolio workflows treat an organisation’s entire asset base as a connected system. This shift is critical, because AI delivers its greatest value when it can identify patterns, relationships and opportunities across scale, not in isolation.
The difference between analysing one building and analysing an entire portfolio is not simply a matter of data volume. It is about context, comparability and strategic relevance.
Portfolio-level AI allows organisations to benchmark performance, detect recurring issues and uncover trends that remain invisible when assets are assessed individually. This broader view turns fragmented information into insight that supports confident, organisation-wide decision-making.
By embedding AI into portfolio workflows, organisations move from isolated data points to strategic intelligence that drives consistent improvement across all assets. Portfolio-level AI makes it possible to identify systemic inefficiencies and deliver improvements that compound over time, creating lasting organisational value rather than one-off success stories.
Integration, not isolation
For AI to be effective at scale, it must integrate seamlessly into the tools, workflows and decision processes that AEC/O professionals rely on every day. This requires interoperable data environments that connect design, BIM, construction and operations; explainable and trustworthy AI outputs that can be acted upon with confidence; and governance frameworks that ensure consistency, accountability and scalability.
“The difference between analysing one building and analysing an entire portfolio is not simply a matter of data volume. It is about context, comparability and strategic relevance.“
When these elements come together, AI moves beyond experimentation. It becomes a core enabler of operational performance, long-term resilience and strategic foresight.
Real impact, real outcomes
When portfolio-level AI systems are implemented thoughtfully, the results are tangible and enduring. Organisations see consistent efficiency gains across dozens or hundreds of sites, faster and more informed retrofit planning, improved occupant comfort and safety at scale, and clearer alignment with regulatory and reporting frameworks.
Just as importantly, leaders gain stronger foundations for capital planning, risk forecasting and long-term decision-making.
These are not abstract benefits. They directly influence financial performance, operational stability and the ability of organisations to manage complexity with confidence.
AI is a practical imperative for AEC/O
The AEC/O industry is complex, dynamic and deeply interconnected. No single technology, vendor or pilot project can address its challenges in isolation. Real progress and real leadership require solutions that are scalable and repeatable, grounded in real operational data, integrated across portfolio workflows and aligned with strategic business goals.
This perspective guides how Nemetschek develops and deploys AI across its product ecosystem. Our focus is on delivering meaningful, measurable value at scale. We are building AI systems that help organisations not just do things differently once but do things better everywhere.
Flagship projects can point the way. But true impact happens when AI works across every building, every facility, and every asset in a portfolio. That is where the future of the AEC/O industry lies.
*Please note that this is a commercial profile.
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