AI Support Agent

Support teams spend 60% of their time answering the same 20 questions. Documentation exists but nobody finds it — buried in help centers, Notebookly pages, or scattered across Chatline threads.

Complex issues bounce between tiers, losing context at each handoff. Escalations arrive without the information engineers need to investigate, creating frustrating back-and-forth that delays resolution.

80% of questions are resolved from docs on first contact. Customers get instant answers without waiting for a human agent.

Every answer includes source links. Customers can verify the information themselves, and agents can trace exactly where the answer came from.

Escalations arrive in Chatline with full context — what was searched, what was found, and the best hypothesis. Engineers pick up where the AI left off, not from scratch.

Support Agent connects to your Notebookly knowledge base via MCP and indexes every page, doc, and FAQ. When a customer asks a question, the RAG pipeline retrieves the most relevant passages and synthesizes a clear answer.

Confidence-based routing determines whether to answer directly or escalate. Low-confidence queries — edge cases, bugs, or questions outside the docs — are automatically forwarded to the right Chatline channel with full context.

Every interaction is logged with the search query, retrieved documents, and final answer. Over time, gaps in documentation become visible — if the same question keeps escalating, you know exactly what to write next.