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§ Pattern · 02 · RFP response

RFP Response Automation.

An agent that reads the solicitation, lifts every shall into a compliance matrix, and drafts first-pass answers from your past-performance library — each one cited.

In plain terms: an AI agent that builds the RFP compliance matrix and drafts cited answers from your own past-performance record.

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A solicitation lands. Sixty pages. Someone reads all of it, pulls every shall and must into a spreadsheet, and starts writing the same past-performance answers for the fifth time.

The agent reads the solicitation, lifts every requirement into a compliance matrix — requirement, owner, status — and drafts the first pass from your past-performance library, each answer cited. The requirements you have no evidence for, it flags. Those are the ones worth your morning.

“Your past performance, your pricing, your win themes never leave the perimeter.”

How the agent runs.

  • 01

    Ingest the solicitation

    Read the sixty pages, pull every shall and must into a structured compliance matrix — requirement, owner, status — and hand it back to the proposal lead before a single word is drafted.

  • 02

    Draft from past performance

    Each requirement is matched against your library, and a first-pass answer is drafted with a citation back to the source document. The boilerplate clears itself.

  • 03

    Flag the gaps

    Requirements you have no evidence for are flagged, not invented. The agent does not produce a plausible answer when the record does not support one — that is the whole point of the citation.

  • 04

    Human sign-off

    A reviewer approves each answer before it lands. The matrix and the draft are yours from the first keystroke.

Where it runs matters.

An RFP response is one of the most sensitive documents a contractor produces — past performance, win themes, pricing, and named staff all in one file. The agent runs inside your perimeter: your cloud tenant, your metal, or air-gapped. Nothing in the solicitation, your library, or the draft leaves. The platform, the agent library, and the license are identical across all four deployment shapes, so the perimeter you pick is a risk-model decision, not a re-platforming one.

02 · VPC
AI Agents in Your VPC
The platform runs in a tenant you own — AWS, GCP, or Azure. Egress only when you approve.
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03 · On-prem
On-Premise LLM Deployment
Self-hosted on bare metal, private cloud, or your datacenter. Any model, zero egress.
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04 · Air-gapped
Air-Gapped AI Deployment
Complete isolation — no outbound path at all. For classified-adjacent work.
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Related patterns.

Pattern 04
FOIA request triage
Responsive records found, redactions proposed by exemption, approval before release.
Explore →
Use case
Government contractors
Air-gapped by default, procurement-shaped, proposal-ready. SWaM teaming available.
Explore →
All patterns
The lookbook
The four shapes of work the agent library already handles — and what's on the rack.
See them →

Questions we hear.

Does this write our proposal for us?
No. It drafts the first pass from your own past-performance library, each answer cited, and flags the requirements you have no evidence for. A reviewer approves each answer before it lands. The point is to clear the boilerplate so your morning goes to the parts only your team can write.
Where does our past-performance library live?
Inside your perimeter. The platform installs behind a boundary you drew — your cloud tenant, your metal, or air-gapped. Your past performance, your pricing, and your win themes never leave. The matrix and the draft are yours from the first keystroke.
How does it handle requirements we have no evidence for?
It flags them. The agent does not invent plausible answers when the published record does not answer the question — that is the whole point of the citation. The gaps it keeps hitting become the documentation you didn't know you were missing.