Support assistant
Answer product and service questions, gather context and route unresolved issues with conversation history.
Applied AI / Conversation
Build conversational support that uses approved knowledge, respects permissions, hands off cleanly and improves against measurable service outcomes.
An AI chatbot should resolve defined needs, show uncertainty and connect users to a person when the conversation exceeds its authority.
Answer product and service questions, gather context and route unresolved issues with conversation history.
Help staff find policies, procedures and account context from sources they are permitted to access.
Complete approved tasks through tools with authentication, confirmation and auditable results.
The conversational interface sits on top of a controlled knowledge, tool and evaluation system.
Approved content ingestion, retrieval, source references, freshness rules and access-aware responses.
Intent discovery, concise answers, clarification, tone, multilingual boundaries and human handoff.
Authenticated tools, least privilege, confirmations, idempotency and protection from prompt injection.
Representative test cases, answer quality, containment, escalation, feedback and cost monitoring.
We validate answer quality and operating ownership before increasing autonomy.
Users, intents, sources, risks, service goals and escalation owners.
Expected answers, edge cases, unsafe requests, missing context and refusal behavior.
Identity, CRM, ticketing, tools and source systems behind explicit permissions.
Conversation sampling, quality signals, source updates, release controls and incident response.
Conversational fluency is not proof of correctness.
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