Facilities management companies often decline winnable RFPs because responses take two weeks to write. An AI matcher maps every RFP question to an approved answer library, assembles a draft document and generates a compliance gap checklist, so first drafts take about a day.
Typical results
11
RFPs answered per quarter, up from 4
85%
Questions auto-matched from library
0
Disqualifications for missing documents
Figures reflect typical results for this kind of automation.
The challenge
Every RFP meant two weeks of copy-paste archaeology: hunting old proposals for answers, rewriting them for the new tender, and hoping nothing mandatory was missed. The team could only handle four bids a quarter and had been disqualified twice in a year over missing documents — while stronger-fit tenders passed by untouched.
Before and after
Days to first draft
−90%RFPs answered per quarter
2.8×Questions needing manual writing
−85%The automation
We turned years of past proposals into a living library of roughly 600 approved answers, each tagged and version-controlled. When a new RFP arrives, an AI matcher parses it into individual questions, maps each to the best library answer with a confidence score, and assembles a formatted draft in the company template. Anything unmatched or low-confidence lands on a compliance checklist with a named owner — so gaps are visible on day one, not deadline eve.
How it works
- 01
RFP ingested
The tender document is parsed and split into individual questions and mandatory requirements.
- 02
Library matching
AI maps each question to the closest approved answer, with a confidence score per match.
- 03
Draft assembled
Matched answers flow into a formatted response document in the company template.
- 04
Compliance checklist
Every unmatched or low-confidence item lands on a gap checklist with a named owner.
- 05
Human finish
The bid team edits, fills the gaps, and submits days ahead of the deadline.
Starts from
- Incoming RFP
- Approved answer library
Delivers
- Draft response document
- Compliance checklist
- Gaps flagged to owners
The impact
First drafts typically land in one day instead of two weeks, with about 85% of questions answered straight from the library. A team that managed four RFPs a quarter can respond to around eleven, mandatory documents stop slipping through, and bids become possible on tenders the team previously wouldn't have entered.
Questions about this automation
Where do the answers in the draft come from?
They come from an approved answer library built from the company's past proposals, with each answer tagged by topic and kept under version control. The AI matches every new RFP question to the closest library answer and gives each match a confidence score. It does not invent new content for the response.
What happens to questions the library can't answer?
Unmatched and low-confidence questions go on a compliance checklist, each with a named owner, along with any mandatory documents the tender requires. The bid team sees every gap on the first day instead of the night before the deadline. New answers written to close a gap can be approved and added to the library for the next bid.
Does the bid team still review the response before submitting?
Yes. The draft is assembled in the company's own template, and the bid team edits the wording, fills the gaps and decides what is submitted. The automation handles the searching and copying. This is a multi-step build, usually rolled out in stages, starting with the answer library.