AI Readiness Assessment for Construction & Infrastructure

Most AI roadmaps fail on data readiness rather than ambition. We audit the data behind each candidate use case, so the sequence reflects what is actually buildable now.

In construction & infrastructure, sites are dispersed, connectivity is poor, and documentation lags reality by weeks. That single fact reshapes how ai readiness assessment has to be built here, the guardrails, the approval points and the evidence trail are design inputs rather than things bolted on before go-live.

The workload we are most often asked to take on first is quantity take-off support, usually integrated against BIM. Integration comes before intelligence. A model that cannot reach your systems of record is a demo with good manners.

Multi-model by default, so a provider outage is a routing decision rather than an incident. You own the code, the models where they are open-weight, and the documentation to run it without us.