How to check whether your AI Employee is using the right knowledge
Summary
Use the AI Simulator or Conversation Logs to view the 'Source' attribution for any given AI response to see exactly which URL or FAQ it used to generate the answer.
Who this article is for
This article is for administrators troubleshooting inaccurate AI responses.
Overview
Before you begin
- Open the AI Simulator or a recent conversation log
- Trigger the specific question
- Check the source citation
Step 1: Step 1: Open the Conversation Log
Step 2: Step 2: Trigger the Response
Step 3: Step 3: View the Source Attribution
Step 4: Step 4: Analyze the Source
Step 5: Step 5: Resolve Conflicts
Configuration note
We do not guarantee AI accuracy, lead conversion, bookings, customer satisfaction, response quality, revenue, support resolution, or business outcomes. The AI Employee does not fully replace human staff. AI behaviour depends on knowledge sources, instructions, handoff rules, enabled features, connected channels, permissions, configuration, testing, and ongoing monitoring. AI-generated responses should be reviewed before relying on them for sensitive, urgent, legal, financial, medical, billing, or policy matters. The AI Employee may need human handoff for these situations. Knowledge sources must be reviewed, updated, and tested regularly. Usage charges, feature access, fair use rules, or add-on requirements may apply depending on your account setup. Always test before going live. Contact support if an option is not visible. If the source attribution shows 'None' or 'General Knowledge', the AI guessed the answer without referencing your business data. Update your Business Rules to strictly forbid guessing.
Important clarification
Leaving old, hidden pages (like last year's holiday promotion) active on your website. If you feed the AI your entire domain, it will find and use those old pages. Remove outdated URLs from your training data.
Resolution guidance
The AI used the right FAQ but still gave a bad answer.
The FAQ itself might be confusing. Rewrite the answer in the Knowledge Base to be as direct and unambiguous as possible.
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If your question requires account access, billing review, workflow inspection, message delivery diagnosis, AI response review, or private configuration review, submit a support request with examples and screenshots.
