Construction

The problem

• ~20% over schedule, up to 80% over budget
• Estimating & actuals are fragmented
• Data scattered across drawings/RFIs

What AI actually does about it

• Predictive cost/schedule overrun models
• AI bid & estimation (+8 to 15% accuracy)
• Supplier lead-time forecasting

Outcome

~52% of construction pros used AI last year; predictive AI cuts overruns ~17%.

Constraints that apply

Gulf giga-projects (NEOM) mandate BIM. UK: BIM Level 2 on public works. US: OSHA + AI bidding up to 35%.

About the figures on this page

These are indicative industry figures, not BvLogic measurements, and we have not verified them. They came from vendor and industry coverage when this page was written. We have not re-sourced them, we do not know the sample they came from, and we would not put them in front of you as evidence.

We are saying so because elsewhere on this site we refuse to print a peer median on the grounds that a number from no respondents is a fabricated number in the position of maximum influence. That standard has to apply here too, or it is not a standard. Use these to frame a question, not to support a business case — and if you need a figure you can defend, the Enterprise Outcome Record sets out what it takes to produce one.

Overrun & contingency

Budget for reality, not the plan.

Runs in your browser. Estimates only, not professional advice.

Work with us

If you want this implemented rather than explained, see Enterprise Services or tell us what you need.