Proposal volumes drafted from past performance, inside the boundary
A defense integrator cut proposal-volume drafting time 68% with capture automation that cleared its security review on the first pass.
The integrator answered every RFP the same way: senior engineers came off billable programs for three weeks to rewrite past-performance narratives that already existed in a dozen prior submissions. Proposal costs were climbing, win rates weren't, and the best technical staff dreaded capture season.
The harder constraint was the boundary. The proposal library carried CUI, so nothing could leave the CMMC enclave — which ruled out every commercial AI writing tool the capture team had evaluated.
Scoping started with the compliance officer, not the capture team. We mapped the CUI boundary, the enclave architecture, and the security review gates before designing anything — because a system that fails the review is a system that never ships.
The signed acceptance criteria were specific: first-draft technical and management volumes assembled from the integrator's own past performance, generated entirely inside the boundary, every source document traceable — and the whole system documented to survive a NIST 800-171 assessment.
The system indexes the integrator's past proposals, win themes, and past-performance write-ups inside the enclave. When a new RFP arrives, it parses Sections L and M, builds the compliance matrix, and assembles draft volumes section by section — each paragraph annotated with the prior submission it came from.
Capture managers review and rewrite from a structured draft instead of a blank page. Nothing goes out without human sign-off, and the audit log records every generation, edit, and source for the security team.
“They understood the boundary conditions before they wrote a line of code. The system cleared our security review on the first pass — that never happens.”
Time per proposal volume dropped 68% against the baseline recorded during scoping, and the system cleared the integrator's internal security review on the first pass — with the assessment documentation we delivered alongside the code.
Senior engineers now contribute hours to proposals instead of weeks. The system runs under managed operations inside the enclave, with updates staged through the same change-control process as the rest of the boundary.
More work
Related case studies
Nearby sectors and sizes, held to the same measurement discipline.
Public sector & education · Government
An eleven-week records backlog, cut to two
Mid-size municipal government (~90k residents)
82% reduction in request backlog →
Manufacturing & industrial · Mid-market
Quotes in one morning, priced from actual job history
Precision machining shop (~80 employees)
82% faster quote turnaround →
Financial services · Enterprise
Commercial lending intake, four days to one
Regional commercial bank (~2,000 employees)
75% faster document intake →
Next step
The same discipline, pointed at your workflow.
Scope → Build → Operate — with a baseline recorded before we build and results measured against it.