Digital construction meets the AI infrastructure problem

Hodgson Sayers, a County Durham specialist in roofing, building maintenance and security products, has appointed an AI specialist through a Knowledge Transfer Partnership (KTP) with Teesside University to build an AI-driven Digital Twin platform. The work fuses parametric modelling, physics-based simulation and AI into a single cloud-enabled twin, tailored to the firm's product lines — security doors, frames, and roofing systems — with dynamic, automated updates running across design, manufacture and construction.

There isn't a published productivity figure yet, so it's worth being careful about framing this as a measured AI deployment. But the signal is strong for two reasons. First, this is a UK SME-scale story, not a tier-1 case study, which makes it a more replicable template for the mid-market. Second, the twin is wired to specific product lines rather than to a single project — a more durable build than the project-by-project twins that often get binned at handover.

It's also a useful reminder that digital construction is the base layer for practical AI. If your information is fragmented, inconsistent, or locked in old processes, AI won't fix the work. It will just expose the gaps faster.

The Government has begun rolling out Extract, a Gemini-based tool that turns blurry old planning maps and handwritten notes into structured digital data, to councils including Hillingdon, Westminster, Nuneaton & Bedworth and Exeter. The £8.3m contract — signed in February and running to May 2028 — is targeting a reduction in determination times from upwards of eight weeks to circa four, with a longer-term ambition of near-instant decisions on straightforward applications. The Financial Times' coverage on 2 May was the highest-engagement UK construction AI item across social this week, which says something about where the broader business audience is paying attention.

This is the first centrally-procured AI tool aimed at the bottleneck developers actually feel. The technology is positioned to support human decision-making rather than replace it — automating policy research, citation generation, identifying material considerations and producing decision reasoning, while leaving the call to officers.

- [Government to begin testing Google AI planning decision tool on two councils (