AI Support Agents
Support agents built on your actual knowledge base, with human handoff and guardrails.
Generic chatbots invent answers, miss the moment to escalate, and make promises the business never agreed to — eroding trust exactly where customers feel it most.
A support agent that answers only from your approved knowledge, cites where each answer came from, hands off to a human the instant it should, and opens a clean ticket with the full history.
A support agent is only as trustworthy as the knowledge behind it. We build on retrieval over approved, dated documentation — your manuals, product docs and FAQs — and we make the agent cite the exact source for every answer. If it isn’t in the approved knowledge, the agent doesn’t make it up.
The hard part of support isn’t answering; it’s knowing when to stop. Frustration, an explicit request for a person, or an out-of-bounds question triggers an immediate, clean handoff to a human, with a structured ticket and the full conversation history already attached. Hardcoded limits prevent the agent from making medical, legal, financial or pricing commitments without human review.
Every interaction is logged, unalterable, and measured — resolution rates, escalation frequency, satisfaction — and unresolved questions feed a continuous-improvement loop that tells you exactly where your knowledge base has gaps.
- RAG over approved company documentation, manuals and FAQs
- Strict answer-sourcing — every response cites its internal source
- Immediate escalation on frustration, explicit requests, or out-of-bounds questions
- Automatic ticket creation with summarized interaction history
- Complete, unalterable conversation logs
- Resolution, escalation and satisfaction analytics
- A continuous-improvement loop that surfaces knowledge-base gaps
- Approved, dated sources only — no answering from model guesswork.
- No unauthorized medical, legal, financial or pricing commitments.
- Human handoff is always one step away.
- Unsafe or unknown queries are declined and routed to a human queue.
Patterns from systems running on our edge today — anonymized, with no inflated numbers.