Drafting AEC Project Scopes Instantly From RFPs With AI Knowledge Agents

In this demonstration, the presenter shows how an AI knowledge agent can generate a tailored project scope directly from an uploaded Request for Proposal (RFP). Traditionally, scope drafting involves locating a similar past scope, copying it, and manually customizing it—a time‑consuming, rewrite‑heavy process. The AI agent instead starts from a pre‑built proposal language library (the "scope library"), grounds its output on that knowledge base, and then tailors the scope to the specific RFP criteria. This shifts the user’s focus from asking what should be included to asking how to make the scope stronger, turning a low‑value drafting task into a high‑value review activity. The speaker notes that scope drafting is typically performed by principals or directors, and that this AI‑driven approach can be presented to leadership as a clear efficiency and value‑add proposition.










