How to troubleshoot incorrect AI Employee responses
Summary
Check the AI's execution log to see which knowledge source it referenced, then correct the conflicting FAQ, URL, or business rule that caused the error.
Who this article is for
This article is for administrators tasked with maintaining the accuracy of the AI Employee.
Overview
Before you begin
- Locate the specific incorrect conversation
- Identify the exact question asked
- Review your current knowledge base
Step 1: Step 1: Isolate the Error
Step 2: Step 2: Check the Source Log
Step 3: Step 3: Look for Conflicting Information
Step 4: Step 4: Update and Clarify
Step 5: Step 5: Re-Train and Simulate
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. The AI is literal. If you have a rule that says 'Never discuss pricing' but also an FAQ listing all your prices, the AI may behave unpredictably. Keep your rules logical and consistent.
Important clarification
Assuming the AI is 'broken' when it gives a wrong answer. 99% of the time, it is functioning perfectly but referencing bad data provided during setup.
Resolution guidance
What if the AI is hallucinating information not in my knowledge base?
Ensure your 'Business Rules' strictly instruct the AI to *only* use provided context. Add a rule stating: 'If the answer is not in the provided knowledge base, you must reply with the fallback message.'
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