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Sales AI Lab

How do you investigate a sales AI answer that sounds right but is wrong?

Author: Sales AI Lab · Editorial team · Updated: 2026-10-06

Who this guide helps

Teams reviewing unsupported model claims

The short answer

Trace the answer back to permitted evidence and identify where the unsupported claim entered. A confidence score or fluent explanation cannot replace a source.

Practical workflow

Keep the prompt version, retrieved material, tool output and generated answer for authorized review. Mark the incorrect claim and whether it came from stale content, wrong retrieval, a tool mismatch or generation without evidence. Remove sensitive data from broader incident summaries.

What a useful handoff looks like

Correct the customer-facing record through an approved human process if needed. Update the source or workflow, then retest the same failure and related cases. Keep uncertain findings marked uncertain rather than inventing a technical cause.

Mistakes to avoid

Do not ask the model to justify its own answer and treat that as independent verification. Avoid concealing an error with a silently edited log.

Working example: fields to record

FieldIllustrative entry — replace with your own facts
Unsupported claimFeature absent from approved source
Possible causeRetrieval mismatch awaiting review
Retest caseOriginal failure with expected safe response

Add your own entries; the example is illustrative. Keep sensitive information private.

Download the blank worksheet

Sources & further checks

Official references are starting points for further checks, not approval of a specific case, product or project.

Editorial note

AI-assisted editorial guidance; not expert certification.

Original editorial guidance. Examples are illustrative, not client cases, measured outcomes or promised services.

Legal and health-related decisions require appropriately qualified local professionals. This site is an independent editorial resource, not a law firm or medical provider.