BidGenie

What it does

BidGenie ingests a live RFP, DDQ, or security questionnaire, extracts every question into a structured worksheet, drafts each answer from the customer’s pre-approved library, routes the draft to a reviewer or SME, and exports the final document in the format the prospect expects.

It runs at bidgenie.co. Free plan ships with 60 one-time credits.

The important constraint is not "can the model draft?" It can. The important constraint is whether a proposal, sales, or security team can defend every answer before it leaves the company.

How to inspect it

• Product leaders: Follow one response from ingestion to reviewer approval. The core product decision is the human choke point, not the drafting agent.
• Engineering leaders: Inspect the extraction schema, answer-library grounding, reviewer states, and export path. The hard part is preserving auditability across formats and handoffs.
• Operators: Ask what happens when the model drafts an answer that sounds plausible but is commercially unsafe. The workflow is designed so unreviewed AI text cannot leave the system.

What we built, end to end

• The ingestion + extraction pipeline (PDF / DOCX / online forms → structured question schema).
• The answer-library data model and pre-approval workflow.
• The agent that drafts answers, with retrieval grounded in the customer’s prior approved responses.
• The reviewer UX — accept, edit, route to a subject-matter expert.
• The export layer matching whatever format the prospect demanded (Word, PDF, web form).
• The infrastructure: deployed on audited providers with independent certifications.

Discovery to public launch: 11 weeks.

What we changed our mind on, hard, in week 3

We started BidGenie as a fully-autonomous agent. The pitch was: upload an RFP, get a finished response back. We had a working demo by the end of week 2.

In week 3 we sat with three prospective customers and watched them try to use it. Every one of them stopped at the same moment: "I cannot send this to a procurement officer unless I can defend every line." The autonomous-agent path was technically interesting and commercially dead.

We threw it out and rebuilt BidGenie as a workflow tool with humans at the choke points by design, not by accident. We lost two weeks. The version that exists today exists because of those two weeks.

What we refuse to ship, and why

• A "generate-and-send" button. RFP answers carry contractual weight. Removing the human is removing the only thing that makes the output defensible.
• Auto-routing for security questionnaires without an SME approval step. Same reason.
• A confidence score we don’t trust. The model can tell you it’s 92% sure. We measured: that number is not informative for RFP answers.

Who it’s for, and who it isn’t

Lean proposal, sales, and security teams who already win a meaningful share of their bids but want to enter more of them. Not for teams who want to outsource judgment to an AI.

Why this matters for your project

If your project involves AI generating text that a human has to sign off on for legal, commercial, or compliance reasons, BidGenie is the exact pattern. We’ve built it once and we know which 40% of the work is "the agent" and which 60% is the workflow, the review UX, and the audit trail nobody talks about until launch week.