Evidence-led response automation
ProposalAI extracts every requirement from the RFP, finds the evidence in your own knowledge library, and drafts the response your experts finish.
One response system
RFPs and proposals · Security questionnaires · Due diligence questionnaires
How a response gets built
01 Extract
02 Map
03 Evidence
04 Outline
05 Draft
06 Check
Every response comes back to a human expert for approval before it leaves your team.
LIVING REQUIREMENTS MODEL
Every requirement stays connected to its source.
Documents, addenda, and buyer answers resolve into one traceable model. When sources conflict, ProposalAI holds the decision for your team.
Built for the work between the RFP and the win.
Knowledge library
Bring approved content, source material, and experts into one governed evidence layer.
Deep research
Find the detail behind every claim.
Draft answers against the evidence, not against a blank chat window.
Questionnaire completion
Keep complex question sets structured from intake to sign-off.
Governance
Versioned sources, accountable owners, and final expert approval built into the response process.
CASCADE CONTROL
Change one assumption. See every affected answer.
A strategic change can touch the narrative, pricing, compliance matrix, and executive summary. ProposalAI finds the impact and holds every update for review.
80%
less time
20+ hrs
returned weekly
30%
faster sales cycles
70%
faster complex responses
Designed for teams where every answer carries weight.
Technology and SaaS
Product, sales, and security teams responding from one approved source of truth.
Re-insurance brokers
Complex coverage narratives supported by traceable evidence and expert review.
Consulting firms
A consistent point of view across every high-value questionnaire and proposal.
Why not a general-purpose AI model?
General-purpose AI
Starts from a prompt. Requires manual context. Cannot show which approved source supports each statement.
Starts from the RFP. Maps requirements to governed evidence. Keeps people accountable for review and final approval.
Questions, answered.
ProposalAI breaks approved documents into passages and adds them to your private knowledge library. When it reads a requirement, it pulls the most relevant passages and keeps the source attached to the draft. Your team can see exactly where an answer came from and retire material that should no longer be used.
Yes. A draft comes back to a named owner or subject matter expert before it is approved. The reviewer sees the requirement, the proposed response, and the supporting source together, which makes corrections much faster. ProposalAI does the first pass; your team decides what is ready to send.
It works with RFPs, security questionnaires, due diligence workbooks, re-insurance submissions, and consulting proposals. The file may change, but the job is familiar: find every question, match it to evidence, draft in context, and flag anything that needs an expert. That structure also helps large questionnaires stay consistent from one section to the next.
No. It handles the repetitive parts: finding approved content, matching it to requirements, and assembling a first draft. Your proposal writers and experts still decide what to say and approve what leaves the company. Their judgment stays in the workflow; they simply spend less time searching and retyping.
Your team decides which sources are approved, who owns each area of expertise, and where review is required. ProposalAI keeps the evidence attached to the response and routes gaps or exceptions to the right person. Reviewers get a clear record of what supported an answer and who approved it.
Yes. Bring a representative RFP or questionnaire to the demo. We will use it to show how requirements are extracted, how your existing material maps to them, and where human review is needed. You will leave with a concrete view of the workflow, not a generic product tour.
See ProposalAI run on your own RFP.
Bring a representative file. We’ll show the evidence, response structure, and review workflow your team can own.