12 Proposal Management AI Agents, Live in Production.

Upload customer-facing text and get every claim that breaks your messaging policy rewritten — with the original and the replacement side by side so a reviewer can check each change.

Read what customers said after seeing a proposal — won, lost, and still open — and find what the proposal itself is getting right and wrong.

Work out which reviewers a proposal actually needs, in what order, and by when — instead of sending it to everyone and waiting.

Draft a proposal from your approved boilerplate and the deal's own facts — with a visible marker anywhere the library has nothing to say.

Track the open exceptions on a bid — the non-compliant answers, the unanswered clarifications — and establish which are genuinely closed before submission.

Upload a proposal draft and every reviewer's comments, and get one consolidated redline list with conflicts between reviewers surfaced rather than silently resolved.

Turn a signed-off proposal into the records the rest of the business needs — the CRM update, the finance handover, the delivery brief — each with only what the proposal actually establishes.

Check a proposal package before it is submitted — every required document present, every figure consistent across them, and every submission rule met.

Establish which proposal version the customer actually holds, what changed between versions, and whether the record can prove it.

Paste a customer message and get it checked against the requirements you are already working to — what changed, what is new, and what it does to scope you have already priced.

Upload an RFP or requirements document and get every requirement extracted, classified by whether you can actually answer it, with the ambiguous ones written as clarification questions.

Turn an RFP into a drafted response built from your approved answer library, with every unanswered requirement listed rather than quietly filled in.