Test Whether an AI Answer Is Supported by Its Citations

A claim-to-evidence review sheet for a practical business AI workflow, with steps, an acceptance test, and a reusable prompt.

By Dr. Connor Robertson · Published October 24, 2026 · Implementation playbook

Deliverable: A claim-to-evidence review sheet. Use this playbook when your team needs a repeatable operating decision with evidence that another person can inspect.

The business situation

An assistant answering a question about service coverage from an approved handbook. This is an illustrative scenario, not a reported client result. Start with a small approved sample and the actual constraints of your team.

The operating approach

A citation can be real while failing to support the statement beside it. Split the answer into factual claims and compare each claim with the cited passage, including qualifiers and effective dates.

Build it step by step

  1. Assign a claim ID to each material statement.
  2. Capture the exact supporting passage and document version.
  3. Mark support as full, partial, absent, or contradicted.
  4. Remove or qualify claims without sufficient evidence.

A concrete acceptance test

Use a source that says weekend support is available only on the premium plan. An answer promising weekend support to every customer must fail, even with the correct source link.

Record the input, expected behavior, actual result, reviewer, and version tested. Repeat this case after a prompt, source, model, or integration change. Include the cases that failed in the next regression run.

The mistake to avoid

Counting citations is not evidence verification. Review whether the passage entails the specific statement.

A reusable working prompt

Create a claim-to-evidence table for this answer. Preserve plan restrictions, dates, and exceptions. Label unsupported claims and propose a corrected answer using only supplied passages.

Replace general descriptions with your approved process details. The prompt helps prepare an artifact; the process owner verifies the finished result before it changes a live workflow.

What to keep in the handoff

Save the accepted a claim-to-evidence review sheet, its source versions, test evidence, unresolved questions, and a named owner. Set a review trigger tied to a meaningful business change, rather than leaving the pilot without maintenance.

Continue implementation

Explore AI Knowledge Bases and Evaluation or contact Dr. Connor Robertson about your business workflow.