AI Proposal Generation

Why it matters in construction

Proposals are expensive. A serious RFP response for a negotiated commercial job takes a coordinator, a PX, and a few subject matter experts 40 to 150 hours, most of it rewording content the firm has written before. Project descriptions get copied from the last submission and go stale. Approach narratives start from a template and read like one. The team runs out of time before the part that wins, which is tailoring the story to this owner.

AI proposal generation changes where the team spends its time. A first draft can draw on the firm’s own history and follow the RFP’s questions and evaluation weights. The team then tailors and verifies it.

How it works

1. Ingest the RFP. The tool extracts requirements, evaluation criteria, page limits, and required sections so the draft follows the owner’s structure.
2. Retrieve source material. It pulls past projects, resumes, safety data, and prior proposal sections from the firm’s systems, matched on project type, size, and location.
3. Draft each section. The model writes to the RFP’s prompts from the retrieved material and follows the evaluation weights. For a criterion weighted 30 percent on schedule performance, the draft can lead with verified schedule results.
4. Cite and flag. Each factual claim links to its source record. Anything the model could not support gets marked for the team to fill in or remove.
5. Human edit. The pursuit team rewrites for voice, adds the strategic angle, checks every number, and finalizes.

A draft based only on a bare prompt is likely to be generic. Verified project data gives the pursuit team specific material to review and tailor.

Example in practice

For example, a commercial GC is responding to an RFQ for a 32 million dollar CM-at-risk courthouse renovation. The submission requires five relevant projects, an occupied-facility phasing approach, team resumes, and a safety narrative, in 25 pages, due in 12 days.

The team loads the RFQ. The tool selects five occupied renovations over 15 million dollars from the firm’s history, pulls the phasing notes and schedule results from those records, drafts resumes for the proposed superintendent and PM from past assignments, and writes an approach section that leads with the two projects where the firm kept a courthouse and a hospital wing open during construction. It flags two unsupported claims; the coordinator removes one and verifies the other. The team can focus its time on a phasing diagram and a page about this building’s known constraints.