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Security and RFP auto-responder

Retrieval-augmented generation fills security questionnaires and RFPs from an approved knowledge base, using tools like Loopio, Vendict, or Responsive.

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By Don, DoneThat’s AI coach · updated

Fill questionnaires from approved answers only

Late-stage security questionnaires and leftover RFP sections move faster when every answer is pulled from a library security already approved, cited to that entry, and held for review. Filling a blank because the deal is at risk is not speed. It is a new claim.

Treat the auto-responder as a retrieval worker. It searches the approved knowledge base, returns the matching answer, and names the library record it used. If nothing matches, it must say the library has no match. It must not complete the row.

Approved means a named owner in security (or GRC) has signed the record, the scope is explicit, and the record is still in date. A paragraph that "sounds like what we told the last bank" is not approved. Neither is an answer sitting in a seller's notes, a Confluence page with no owner, or a questionnaire exported from a prior deal and never re-checked.

Loopio, Vendict, and Responsive sit in the same class of questionnaire and RFP workspaces: they store Q&A libraries, assign owners, and keep drafts in one place. Salesforce typically holds the opportunity, the attachment, and the close date. None of those tools replaces the rule. The model may only speak from approved answers. The workspace files work. The knowledge base is the authority.

Sales narrative belongs in the proposal, not in a SIG. Use auto-drafted proposal work for commercial sections drawn from approved proof points. A security exhibit is a different artifact. Mixing those voices is one of the failure modes below.

Retrieve, cite, and stop when the library is silent

Run each questionnaire item as a retrieval request against the approved corpus only. Do not search email, chat, old decks, or last quarter's unsanctioned spreadsheet. Those sources are not the library, even when they contain true statements. Truth that has not been approved is still out of bounds for an auto-responder.

Match on the control or question, not on wording that merely sounds close. "Do you encrypt data at rest?" should retrieve the approved encryption-at-rest answer, including the scope, the algorithm family you actually use, and any caveats security wrote into that record. "Do you support customer-managed keys in the buyer's region?" is a different question. A near-miss on encryption is not an answer.

Cite the library entry on the draft. The citation is what lets a reviewer move quickly: they check that the retrieved record is still current and that the question is actually the same question. A fluent paragraph with no source is a new statement, even if it reads like something you have said before. Put the citation where the reviewer will see it without hunting, next to the drafted row.

When retrieval returns no adequate match, the system must refuse. Acceptable refusals are explicit: no approved answer, a partial match that does not cover the asked control, or a stale record flagged as expired. The draft should leave the cell empty or mark it for security. It should not paraphrase a neighboring answer, upgrade a "partial" to a "yes," or import language from a marketing one-pager.

The same retrieval discipline shows up in case-study retrieval RAG, where proof must come from approved customer stories rather than invented detail. Questionnaires are stricter. A missing case study is an awkward proposal. A missing control answer that gets filled anyway is a misrepresentation.

One pattern, not a measured result: a SIG Lite arrives on a late-stage opportunity already in Salesforce. Encryption at rest, SSO, and backup frequency all hit current library records, so those rows draft with citations. Customer-managed keys in a named region do not. The auto-responder leaves that row marked unmatched. Security writes the true answer, or confirms you do not offer the control, before anyone pastes the packet into the buyer's portal. That is the workflow. It is not a promise about hours saved.

Keep security review on the send path

No questionnaire or security exhibit leaves on model output alone. Retrieval reduces typing. It does not approve a send.

Route the draft the way you route a human first pass: security owns controls, legal owns contractual security language, and proposal ops owns packaging and the buyer portal. The reviewer should see the question, the retrieved answer, the citation, and every unmatched row. Unmatched rows are the review agenda, not optional footnotes.

Do not treat "the library said yes last year" as a send. Controls drift. Products change. Exceptions expire. The reviewer confirms the cited record still describes what you operate today. If it does not, they update the library, then the response. They do not patch the outgoing questionnaire in isolation and leave the library wrong for the next deal.

Contract security language is a sibling workflow, not the same one. clause precedent retrieval and contract redline AI pull from playbooks and prior redlines. A SIG answer is not a clause, and a clause is not a questionnaire row. Reuse across those surfaces only when security and legal have mapped them on purpose.

Keep the send gate in the workspace you already use. Loopio, Vendict, and Responsive exist to hold drafts and owners. Salesforce can show that the questionnaire is blocking close. Use them for routing. Do not skip review because the model sounded confident.

Failure modes that look like progress

Answering yes on a control you do not have is the expensive error. It usually happens when retrieval is loose: the question asks for a specific capability, the library has a related but weaker control, and the model completes the yes. Reviewers who only spot-check cited rows will miss it if the citation looks official. Require an explicit match on the asked control. A related answer is a refuse, then a human decision.

Mixing sales fluff into a SIG is the credibility error. Proposal language sells outcomes. Questionnaire language states facts: what you run, what you do not run, what is in scope. If the auto-responder can see commercial copy, it will try to be helpful. Keep the retrieval corpus for questionnaires limited to approved security answers. If a row needs a commercial clarification, a human writes it after security has stated the control.

Sending without security review is the process error. It shows up when the portal closes tonight and the draft looks like last time. Last time is not this product version. Last time is not this exception. The unmatched rows are exactly the places a tired closer wants to guess. The system should make unmatched rows blocking, not easy to overwrite with a yes.

A quieter failure: using a complete answer from a different customer questionnaire because the headings lined up. Buyer-specific exceptions, regional hosting, and contractual commitments do not transfer. Retrieve the canonical library answer, then apply deal-specific overlays only when those overlays are themselves approved records.

last-mile deal coaching can remind a seller that the questionnaire is still open. It should not coach them to fill gaps from memory.

Keep questionnaire fill separate from other close work

This page is about filling questionnaires and RFP security sections from an approved knowledge base, with refusal on unknowns and a human send gate. It is not a ranking of Loopio, Vendict, or Responsive. It is not a claim that any of them, or Salesforce, performs a retrieval step you have not configured. If a vendor's product does not do a thing you need, do not write that thing into the process. Configure retrieval against your library, or keep those rows fully human.

It also does not replace library hygiene. Retrieval only returns what you maintained: current answers, retired answers, and clear owners. A stale yes is as dangerous as a generated yes. Build a habit of updating the library when a review changes an answer, not only when a new questionnaire arrives.

Keep commercial proposal drafting, legal redlines, and questionnaire fill as separate retrieval jobs with separate corpora and separate reviewers. Shared tooling is fine. Shared answers are only fine when security and legal have said they are the same fact.

The close-path result you want is a packet that still matches reality: cited where the library knows, silent where it does not, and reviewed before send.

Is this worth automating for you?

Whether this pays back depends on how much time it takes your team today. Most teams estimate that from memory, and the estimate is usually wrong in one direction or the other. This one is rated high effort to implement, so the baseline matters more than usual.

DoneThat reconstructs where the time actually went, with no timers to forget, so you can measure the baseline before committing to a project and check the gain afterward.

Measure the baseline first