Guide
AI Wrote It. Can It Defend It?
AI can get you to a submission-ready proposal in hours. But evaluators, contracts teams, and protest reviewers don’t care how fast you drafted it. They care whether you can prove where every claim came from, reproduce your compliance analysis on demand, and show who signed off. This guide walks through where AI-generated proposals break down under pressure, and how combining generative AI with deterministic technology produces proposals that win the award and hold up in every room after it.
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In this guide we cover
The three failure modes of generative AI
a. Fabrication, no audit trail, and drift and why each one surfaces under pressure rather than in the draft, when it’s hardest to fix.
The three tests every defensible proposal must pass
a. Traceable to a specific source, repeatable across reruns, and reviewed with a documented sign-off trail.
Which tool belongs in which room
When to leave AI out (requirement shredding, compliance checking), when to keep it in with human review (outline generation), and how to ground it in curated content so every draft traces back to a defensible source.
The infrastructure that makes this scale across teams and pursuits
a. Workspaces, collections, prompt libraries, and review trails plus a five-question final rehearsal to confirm a proposal is ready before the door opens.
