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How project managers use AI to draft RFIs that get clear, fast answers from designers.
AI can draft RFIs that already include the spec section, drawing reference, and proposed answer for designer markup.
A Request for Information (RFI) is how a contractor asks the design team to clarify ambiguities in contract documents. On a complex construction project, RFIs can number in the hundreds or thousands. Poor RFIs — vague questions, missing drawing references, inadequate proposed solutions — generate slow, incomplete responses that delay the schedule. Good RFIs are specific, cite the relevant spec section and drawing detail, and include a proposed resolution that the designer can simply mark up and return. This self-answering format dramatically speeds designer response times and creates a cleaner paper trail if the RFI later becomes the basis for a change order. AI's role in RFI management is straightforward and high-value: it can cross-reference specs and drawing sheets to ensure the citation is correct, draft the schedule-impact paragraph based on the activity affected, and identify patterns in repeat RFIs that suggest a systemic coordination issue worth addressing at the team level. The constraint is that AI cannot make design decisions — a proposed resolution in an RFI is exactly that, proposed. Only the design team's stamped response constitutes authorization. Field-implementing an AI-proposed resolution before the designer responds is a significant contract and liability risk.
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