Win more bids. Draft them in hours, not weeks.

Most industrial RFPs are won or lost on the same 20% of the document, and the other 80% is boilerplate that a junior could write in their sleep. The point of automation isn’t faster bids on the deals you were already chasing — it’s bids on the deals you used to skip.

The 80/20 split

Pull apart any 200-page RFP response and you’ll find the same shape. Eighty percent is compliance language, company history, certifications, standard product spec, references — material that’s been answered the same way for a decade. The remaining twenty percent is the bid: pricing, scope carve-outs, delivery commitments, the worded clauses that decide whether you’re profitable or underwater.

Bid managers know this. They also know they spend roughly the opposite ratio of their time: most of the week chasing boilerplate down from product, legal, and quality, and the last frantic afternoon on the part that actually wins or loses the deal. Automating that ratio is the whole game.

The agent ingests the incoming RFP — PDF, Word, or Excel. It extracts the compliance matrix: every “shall,” “must,” and “required,” each with a section reference and a draft answer sourced from past won responses. Not every response in the corpus — won responses specifically. Generic LLM output reads like a consulting deck; your real bids read like your company, and the corpus that shapes the drafts is the one where the customer said yes. When drafted scope crosses a standard margin band, the agent flags it. It never quotes a price.

A 200-page RFP at noon

A 200-page mechanical-equipment RFP arrives at noon. The bid manager points the agent at the PDF. By close of business: ~340 compliance rows extracted, each paired with a draft answer sourced from the last two similar wins, citations visible in a side-by-side view.

The bid manager reviews row-by-row. About 70% of rows go through untouched. The rest get rewritten — scope language sharpened, delivery terms adjusted, a clause that doesn’t match this customer’s jurisdiction flagged and corrected. The next morning is spent on pricing strategy, not paragraph wrangling. The bid goes out 36 hours after the RFP landed.

The first few bids, the manager rewrites a lot. By bid five they’re accepting most sections untouched and spending their week where it matters. That’s how trust accrues.

By the numbers

Time-to-first-draft down roughly 70%. Throughput up roughly 5× drafts per bid-manager-week (illustrative, typical pilot — depends on corpus quality). The number that actually changes the business isn’t throughput. It’s coverage. Teams who used to no-bid two out of three opportunities because they didn’t have the hours now respond to everything that fits the ICP. Full argument in the RFP playbook.

What you control

Which past responses are in the corpus — won, lost, or explicitly excluded. Pricing guard-rails per product line: the threshold at which the agent flags scope as commercially sensitive. Whether the agent may draft commercial sections or only technical ones. Audit log on every section draft: what was proposed, what was accepted, what was rewritten, by whom, when.

We do not auto-submit. Ever. The agent owns the keystrokes; the human owns the commitment. The bid manager reviews, accepts or rewrites, and signs the final document. That boundary is not a limitation of the system — it’s the design.

What it connects to

Word and Excel native — the bid manager works where they work. Connectors to SharePoint and OneDrive cover the document management system holding past responses. When the connector you need isn’t on the standard list, it gets built. Full list at Integrations.

Where to look next

• RFP automation playbook — the long-form guide: corpus setup, human-in-the-loop patterns, and what a typical first-bid pilot looks like.
• Workflows — the broader automation pattern the RFP agent sits inside.
• Sales use case — how bid-manager throughput and coverage translate to a sales-director conversation.