Helping boards use AI in real project delivery — with clear accuracy, control, and accountability. In construction, 80% accuracy is failure. We help you use AI where it works — and control it where it does not.
AI is already being used in construction. The issue is not adoption. It is control.
In live projects, AI outputs can look correct but fail when applied to real site conditions, contract structures, or programme logic. Small errors can quickly become cost, delay, or dispute issues.
We focus on how AI behaves in real projects. We test where it works, where it does not, and where control is required.
This allows boards to use AI with confidence, without creating hidden risk exposure of AI hallucination and resulting inaccuracies.
We assess how AI fits into your current processes, contracts, and governance. No disruption. No parallel systems.
We identify high-risk activities where errors are unacceptable. Such as cost estimation, supplier selection, and contract decisions.
We assess how AI performs with live inputs. Including incomplete data, design changes, and contractor variation.
Different activities require different accuracy thresholds. We define where AI can support and where it must be limited.
Critical outputs are reviewed before decisions are made. AI supports judgement. It does not replace it.
We ensure AI fits existing approval, contract, and reporting structures. With clear ownership of decisions.
Risks flagged early, weeks before conventional methods.
Emerging slippage visible before milestones fail.
Outliers in contractor or supply-chain data detected automatically.
Clear, visual signals tailored to executives and boards.
AI insights supplement and validate human review.
Boards act sooner, guided by evidence not instinct.
Accountable for delivery outcomes and financial exposure.
Approving AI adoption without full clarity on risk and accuracy.
Overseeing large infrastructure or national-scale programmes.
Managing coordination across contractors, systems, and delivery data.