NextGen Upfitters needed a way to respond to a growing volume of enterprise procurement opportunities without scaling proposal headcount linearly. Each RFP required deep research, careful requirement analysis, and structured drafting under tight deadlines.
Organizations spend significant time manually researching and responding to procurement bids and RFPs. Information lives across public sources, internal docs, and prior responses, and stitching it together by hand is the slowest step in the pipeline.
- Cut the time required to draft a first-pass RFP response
- Standardize quality across responses regardless of author
- Make supporting research reusable across bids
- Keep humans in the loop for strategy and final approvals
Mapped the existing bid workflow with proposal leads and SMEs. Cataloged where time was actually spent, research, requirement parsing and narrative drafting, and identified the steps where AI assistance would compound rather than just shave minutes.
Framed the product as an AI pipeline rather than a single chat interface: ingest the RFP, extract structured requirements, run targeted research, assemble context, and generate draft responses section by section. Each stage exposed editable artifacts so reviewers could intervene without re-running the whole pipeline.
- Defined the requirement extraction schema and AI workflow stages
- Specified retrieval and research automation behavior with engineering
- Designed the reviewer experience for drafts, citations, and overrides
- Iterated prompts and evals against real historical RFPs
Balancing AI autonomy with reviewer trust: drafts had to be useful enough to accept, while every claim and number stayed traceable back to a source the proposal lead could verify.
Shipped an AI-assisted bid response platform that automates research, analyzes requirements, and generates structured draft responses — meaningfully reducing manual effort and improving response speed across enterprise procurement opportunities.
- Treat AI workflows as pipelines of editable artifacts, not single prompts
- Citations and traceability are part of the product, not a footnote
- Evals on real historical inputs beat synthetic benchmarks every time