Support and onboarding agents are best treated as controlled interfaces to approved knowledge and limited tools. Success requires a precise scope, fresh policies and a handoff when users need staff judgment.
Design the first successful task before building a broad chatbot. The user should be able to inspect an answer, fix mistakes and reach a person.
The handoff must carry conversation context, a clear ticket identifier and an honest response expectation.
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The assistant should guide navigation through approved material without pretending to interpret company policy legally.
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Good onboarding favors a single meaningful accomplishment over a list of features.
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Retrieval should return authoritative documents with version and access constraints instead of a plausible unsupported answer.
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Ask for diagnostic facts before assigning priority, while making it easy to report an urgent production outage.
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Answer quality alone is insufficient when the bot cannot access approved workflows or escalate issues.
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Reuse the conversation pattern, not the same knowledge source or access policy.
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Effective help desks distinguish routine knowledge lookup from incidents demanding immediate triage.
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Start with a narrow assistant that is correct and useful; expand tools only after the content and workflow are stable.
Read the guide →The guides explain potential conversational-AI use cases. Check each live product for currently supported features.
