The ProposalAI platform
The response system built around evidence.
ProposalAI turns source material, requirements, and human expertise into a governed workflow your team can review with confidence.
From raw request to approved response
Each stage has a clear output, an evidence trail, and a named human decision. Teams move faster because the system handles the search and assembly work without hiding how an answer was produced.
01
Intake and extraction
Upload the RFP in whatever form it arrives. Every requirement, deadline, deliverable, submission instruction, and scoring weight becomes a structured brief.
02
Evidence from your library
Each requirement is checked against your private content and labelled as evidenced, partially evidenced, or a gap, with the passage and page attached.
03
Research and positioning
The agent gathers client, industry, and competitor context so the response begins with a specific point of view rather than generic prose.
04
Outline and drafting
The outline mirrors evaluation criteria. Sections are drafted from approved content and research, with a citation on every generated passage.
LIVING REQUIREMENTS MODEL
Every requirement stays connected to its source.
Documents, addenda, and buyer answers resolve into one traceable model. Conflicts are surfaced for expert review.
Coverage is not the same as a winning score.
ProposalAI explains why a compliant answer may still be marked down, using the scoring legend inside the RFP.
Parallel workstreams. One grounded proposal.
Named workstreams draft in parallel, carry citations into every section, and stop at an expert acceptance decision.
CASCADE CONTROL
One change surfaces every affected artifact.
Strategic assumptions can touch the narrative, pricing, matrix, and executive summary. Every impact is held for review.
Approved answers stay consistent across every response.
ProposalAI fills from approved sources, detects contradictions, and holds the uncertain answer before it is sent.
Every consequential decision has an owner and a record.
Human overrides persist with their justification, proposal version, and the exact work that remains.
Everything else the platform does
Compliance check
The finished draft is scored against the intake matrix. Unmet and partially addressed requirements are flagged with the section that should cover them.
Questionnaire mode
ProposalAI works inside security, due diligence, and vendor spreadsheets, answers consistently across the workbook, and flags conflicts with prior submissions.
Review and approval
Each stage ends at an approval gate. Reviewers see what changed, why, and where it came from. Final approval belongs to a named person.
Presentations
When a shortlist calls for a pitch, the approved proposal becomes a first-draft deck so the written response and presentation tell the same story.
See the platform on a real RFP.
Bring one of your own. In thirty minutes we will extract the requirements, build the matrix, and show what your library can already evidence.