How to maintain your AI Employee over time
Summary
Establish a scheduled maintenance routine to update the Knowledge Base with new business information, review conversation logs for new customer trends, and refine tone instructions.
Who this article is for
This article is for business owners and administrators responsible for the long-term success of the AI integration.
Overview
Before you begin
- Schedule a monthly AI performance review
- Update the Knowledge Base with any recent business changes
- Review and adjust custom instructions based on recent logs
Step 1: Step 1: The Monthly Knowledge Audit
Step 2: Step 2: Review New Customer Trends
Step 3: Step 3: Refine the Guardrails
Step 4: Step 4: Check Handoff Volume
Step 5: Step 5: Always Re-Sync
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. Assign ownership of the AI Employee to a specific team member. If no one is explicitly responsible for maintaining it, it will quickly become outdated.
Important clarification
Changing a policy on the company website but forgetting to re-sync the URL in the AI settings, causing the AI to give customers old policy information.
Resolution guidance
The AI performance seems to be degrading over time.
This is almost always a data issue. The business has changed, but the AI's training data hasn't. Perform a comprehensive audit of all Knowledge Sources.
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