How an AI agent can prepare a cited questionnaire draft with gaps marked for review
This workflow gives an AI agent a defined job, a bounded set of records, and a result a person can review. The agent reads the relevant Conveyor context, applies the rules in the prompt, and keeps the source behind every recommendation. It returns a proposed handoff rather than taking consequential actions on its own.
Can an AI agent prepare a cited questionnaire draft with gaps marked for review?
Yes. Start with the scope, date range, decision rules, and fields that identify the right records. The agent can collect the evidence, compare states or sources, mark conflicts and missing data, and organize the result around the outcome above. A reviewer then checks the matches and judgment calls before approving messages, record updates, bookings, purchases, publishing, or other write actions. The guide below shows the records, boundaries, prompt, and handoff needed for this specific workflow.
Set the response boundary
Name the questionnaire, customer, product or service scope, due date, and approved content sources. Include prohibited claims and the owners for security, privacy, legal, and product questions.
The agent should map each question to an approved answer only when scope and meaning match. It should cite the source, preserve conditions, and label answers that require customer-specific wording or fresh confirmation.
Example starter prompt
Review Conveyor questionnaire [name] for [customer] covering [product/scope]. Use only [approved answer sets and evidence].
For each question, draft the shortest supported answer, cite its source and approval date, and preserve any qualification. Mark unsupported claims, conflicting answers, stale evidence, and the owner needed. Do not submit the questionnaire or promise roadmap work.Review dangerous similarities
Questions with similar keywords can ask different things, such as policy versus technical enforcement or company-wide controls versus one product. Check negative wording and compound questions carefully. A partial answer should say which part remains open.
Questions this workflow answers
Can we answer a customer security questionnaire quickly without promising controls we have not proved?
An agent can draft from approved trust content when it evaluates meaning and scope, not only matching words. Give it the customer, product or service, deployment model, due date, accepted answer library, evidence rules, prohibited claims, and named owners. It parses negative wording and splits compound questions so each part receives a supported answer or an explicit gap.
Similar questions can require different evidence. “Do you have an incident policy?” asks about governance. “Can this product detect and contain an incident?” asks about implementation. A company-wide answer may not cover one service or customer configuration. The agent records the source, approval date, applicable scope, and qualification behind every draft. Planned, in progress, and implemented remain distinct.
The shortest supported answer is usually safer than a broad marketing response. If the source does not establish the claim, the agent asks a precise question of security, privacy, legal, or product. It should not promise roadmap work, invent a date, or reuse an expired answer because it sounds close. Evidence-sharing requests remain separate from the prose response.
Reviewers receive every question with draft answer, citation, scope note, confidence, owner, and open issue. Blockers and customer-specific requests are grouped for decision. Submission remains under authorized review. The workflow saves search and drafting time while preserving the conditions that make a security statement accurate.
Questions that appear repetitive still need their exact subject and scope checked. Encryption for stored customer data is not the same claim as encryption for backups, logs, or data in transit. The agent can reuse approved language only when the control, product, environment, and requested evidence match. It records qualifications and dates beside the answer so a short customer response cannot lose an important limitation. Unsupported yes-or-no questions stay open rather than being softened into a reassuring phrase.
Expected handoff
Return the question, draft answer, citation, scope note, confidence, owner, and open issue for every row. Group blockers and evidence-sharing requests separately. A security or legal owner approves responses before submission.