Description
Your firm already holds the answer to almost every question your teams ask. It's buried in specs, RFIs, submittals, drawings, and contracts across hundreds of projects. The problem was never a lack of data. It was getting an answer without digging for the artifact. This session shows what changes when AI is grounded in your real project data. We start simple, asking a question of one folder. Then we go historical: what did we spec for the curtain wall on our last three hospital projects? Then live across your active systems. The part that separates this from every generic AI demo: you watch permissions respected in real time. Change who's asking, and the answers change with them.
Key Learnings
- Compare answers from AI grounded in firm project data against generic AI results across specs, RFIs, drawings, and contracts.
- Build a query workflow that moves from a single folder to a live search across all your active project systems at once.
- Validate that permissions and governance hold at query time, so every answer respects who is allowed to see what.
- Identify high-value questions teams can answer from existing project history to reduce rework.
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