Customer Support Automation

Bots answer from the client's own knowledge base rather than from open-ended generation, so responses are grounded in approved material and an unanswerable question routes to a human instead of producing a confident guess. Intent classification and entity extraction handle natural phrasing, and the knowledge base is chunked and indexed for retrieval so answers cite a specific source article. Integration with the existing help desk creates and updates tickets, and escalation hands the full conversation transcript to the agent so the customer is not asked to repeat themselves. Escalation triggers are explicit: low retrieval confidence, a repeated failed answer, detected frustration, or any topic on a defined must-escalate list such as billing disputes. Automated flows cover password resets, order status, appointment scheduling and frequently asked questions. The customer is told they are speaking with an automated assistant and how to reach a person. Transcripts are reviewed on a cycle, and gaps found in review become new knowledge base entries rather than prompt patches.

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