Using AI RFP Solutions: Dos and Don’ts

No general federal rule currently requires you to disclose that you used AI to help write a proposal. The rules being written govern something different: AI systems you deliver under a contract, or that process government data while performing it. That distinction gets collapsed constantly, and collapsing it leads people either to over-disclose or to assume no rules apply to them at all. Two things do bind you regardless - you certify everything you submit as accurate, and putting solicitation material into a third-party tool is a data-handling decision with real consequences.

Do You Have to Disclose That You Used AI?

Check the solicitation, because that is where the answer lives. As of August 2026 there is no across-the-board federal requirement to disclose AI used in drafting, but individual issuers - federal, state and local - have started adding their own clauses, and some now ask bidders to attest to how AI was used or to certify that submitted content is human-reviewed. Those clauses vary enormously in what they actually ask for. Read the representations and certifications section of your specific solicitation rather than applying a general rule, and if the requirement is ambiguous, ask during the question period. An answer in writing to all bidders is worth more than your best guess.

What Are the Federal Rules Actually About?

Delivered AI, not drafting tools. In June 2026 GSA proposed a clause, GSAR 552.239-7001, titled "Basic Safeguarding of Data Within Large Language Model Artificial Intelligence Systems." It applies to contracts where government data will be processed by a large language model, and reaches down the supply chain to developers, operators, integrators and service providers who are not parties to the prime contract. Its requirements include government data ownership with prohibitions on using that data to train other models, criteria for U.S. jurisdiction and control, advance notice of material changes, and supply-chain due diligence. It does not apply where an LLM is embedded in a common commercial product or is incidental to the requirement.

Status matters here. This is a proposed rule, not a final one - it was published in the Federal Register on June 17, 2026, with a comment period that closed on August 3, 2026. Anything you read describing it as a current obligation is ahead of the facts. If you sell AI-enabled services to the federal government, this is worth tracking closely. If you use a chatbot to tidy up a draft, it is not about you.

What Actually Creates Risk?

What Are You Certifying When You Submit?

That the content is accurate and that you stand behind it. This is the part that matters more than any disclosure question, and it does not change because a tool produced the first draft. If your past performance section states a contract value that is wrong, the fact that a model generated the number is not a defense - it is an explanation of how the error happened, offered to someone who is deciding whether your bid was careless or worse. The same logic applies to certifications about your size status, your credentials and your capacity. Everything in a submission is a representation by your organization, signed by a person. Treat AI output as a draft from a fast assistant who has never seen your books - which is why the task-by-task split between what AI drafts and what a person owns matters more than any policy document.

What Should Your Internal AI Policy Cover?

1. Which tools are approved. Name them. An unmanaged mix of personal accounts is where confidential material leaks.
2. What may never be pasted in. Client data, pricing, anything under an NDA, anything marked restricted in a solicitation, personal information about staff.
3. Who verifies output. A named person, not "the team." Every factual claim traced to a source before submission.
4. How to check the solicitation. A standing step in your kickoff to look for AI clauses in the certifications section.
5. What gets recorded. If a solicitation later asks how AI was used, you want an answer that took ten minutes to assemble, not a reconstruction.

Is Data Security the Real Question?

For most bidders, yes. Disclosure is a paperwork question with a findable answer; data handling is a decision you make dozens of times a week without noticing. Consumer AI tools differ substantially in whether inputs may be used to improve the service, retained, or reviewed by humans - and a solicitation you are working from may itself carry handling restrictions. Before a document goes into a tool, know what the tool's terms permit and what the solicitation requires. That single habit prevents most of what can genuinely go wrong, and it sits naturally alongside the rest of your compliance routine.

Why Do AI-Written Bids Read the Same?

Because bidders using similar tools on the same document converge on similar answers. That is a scoring problem rather than a rules problem, and it is covered in why AI-generated proposals lose - along with what evaluators notice and what is now happening on the agency side of the table.

Read the Certifications Before You Draft

Whether an AI clause applies to your bid is answered in the solicitation, usually in a section most people skim. Open a live one and go looking. Search open RFPs on Bid Banana.