Agent & automation workflows

Two ways LLMs earn their keep beyond a chat window: routing a query to the right retrieval or tool, and running an end-to-end automation with a human kept in the loop where it matters.

Agent request routing

An intent router decides whether a query needs a lookup (RAG over a vector store) or an action (tool calls to real systems). A confidence gate keeps low-certainty answers out of users' hands until a human signs off.

Support ticket triage automation

Every incoming ticket gets classified and sentiment-scored on arrival. Urgent tickets page an engineer immediately; the rest get an LLM-drafted reply that either auto-sends or routes to a human editor first, based on an eligibility check.