AI Project Delivery Platform

Teams usually start looking for an AI project delivery platform because the same problem keeps costing hours on live projects: the answer to a question sits in a drawing in one system, a spec section in another and a consultant email in a third. Reviewing a submittal, responding to an RFI or checking an issued set against code means opening all three, and nobody has the time to do that thoroughly on every sheet.

The products sold under this name split into two groups, and most evaluations go wrong by comparing across them. A system of record, such as a construction management platform or a common data environment, owns the workflow: who can see a document, who approves it and what the audit trail shows. Those platforms are adding agents that draft RFIs, summarize daily logs and score risk using the data already inside them. An AI layer does a different job. It connects to the systems a project already uses and runs agents across documents wherever they sit, for example checking a 90% drawing set from ProjectWise against the specifications in SharePoint and the adopted building code, then citing the sheet and section behind each comment. Most firms need a system of record first and add the AI layer for the technical review work that crosses systems.

When evaluating, use documents from a live project rather than a demo set. Check that every answer cites its source so a reviewer can confirm it, that the tool reads the systems your consultants actually use, that it respects existing permissions, and that the vendor states data retention, model training and hosting region in writing. Then measure what matters to the people doing the work: how much manual checking it removes, and how quickly a project engineer or architect can verify what it found. The person of record still makes the call.