A customer questionnaire should describe what your organization can support with evidence. Begin with approved policies, current operating records, and previously reviewed answers. Then check whether each source fits the question being asked.
AI can help prepare the response. It should not decide what your organization promises to a customer.
Gather the right sources
Confirm the product, systems, and period covered by the request. Choose records that match that scope. An older answer may be useful context, but it needs checking before reuse.
Separate policy requirements from proof of completed work. A policy saying access must be reviewed is different from a record showing the review happened.
Prepare a reviewable answer table
Use columns for the question, draft answer, source, owner, and unresolved items. Short answers with clear qualifications are easier to review than a long description that does not answer the question.
Ask the agent to use only the provided records for factual claims. Where it cannot support an answer, ask it to mark the information as missing.
Check before sharing
Review the answer and the cited source together. Confirm that the wording does not overstate coverage or make a commitment your team has not approved.
Assign missing information to an owner. Keep open items visible in the review. The final response should reflect the evidence you have, including its limits.
How CASK and Truvara can help
CASK brings the questionnaire, source records, and proposed edits into a desktop workspace. The agent helps prepare answers with source references. You check and approve the changes, then export the reviewed work.
If your team needs delivery support, Truvara can help manage customer and partner reviews through an agreed service. Our practitioners prepare and check the response with your owners before it is shared.
Where is the data processed?
The workspace is stored on your device. When you choose a cloud AI provider, the content needed for the request goes to that provider under its terms. Review your configuration and the privacy policy.
Can we reuse the answers?
Yes, after checking the scope, source dates, and any changes since the previous review. An approved answer is a starting point, not a permanent guarantee.