Product · RFP AI Solution
Evaluate RFPs, analyze technical specifications, and accelerate proposal generation with citation-backed outputs your compliance team can defend.
The problem
Every RFP is 300+ pages of requirements, legal terms, evaluation criteria, and technical specs. Your best engineers spend a week reading each one. Half the RFPs never get a response. The ones that do, ship late.
RFP AI Solution reads, classifies, and maps every requirement against your capabilities in the first hour. Your team spends time on the judgment calls, not on the highlighter.
The workflow
Upload the RFP, specs, BOMs, and amendments. Every requirement extracted, categorized, and cross-referenced. Mandatory vs preferred vs informational, flagged at ingest.
Each requirement matched against your capability library. Green / yellow / red coverage score. Gaps surfaced before you commit to respond.
First-draft responses generated per requirement with citations to your prior-win playbook, product docs, and case studies. Your SMEs edit, not author.
Response audited against the RFP's compliance matrix. Format checked. Deliverables bundled. Every answer traceable to its source with one click.
Pipeline
Every claim in every answer traces back to the source paragraph in the source document. Your compliance team audits in minutes, not days. Your legal team signs off without pulling their hair out.
RFP + specs + BOMs ──► [ INGEST ] ──► requirement ledger
│
▼
capability library ──► [ MATCH ] ──► coverage report
│
▼
win-playbook + docs ──► [ DRAFT ] ──► cited first-draft
│
▼
compliance matrix ──► [ AUDIT ] ──► submission bundleBuilt for
Defense primes responding to DoD solicitations. Healthcare networks answering state RFPs. Infrastructure firms bidding on municipal projects. Engineering services against complex technical specifications.
Everywhere a missed mandatory requirement disqualifies your bid, RFP AI Solution is the safety net between your proposal team and a lost contract.
In an architecture review we show exactly where RFP AI Solution would have collapsed the cycle time, and what it replaces in your current proposal stack.