Conversation Intelligence
Turning support, Slack, sales, and product conversations into structured signal, knowledge updates, and eval cases.
Production AI is not a prompt. It is a system of context, tools, permissions, traces, evals, and feedback loops.
Closed-loop listening
Conversations reveal what systems know, what they fail to answer, and where product or operations need attention. The loop is only valuable if it feeds back into knowledge and tests.
- Intent, subject, sentiment, and satisfaction extraction
- Failure clustering and root-cause analysis
- Resolved threads into knowledge updates
- Hard cases into regression datasets
Related resources
A pattern for converting production conversations and agent traces into durable knowledge and better tests.
The owned map of systems, schemas, documents, permissions, events, and business meaning that agents use to act safely.
Evaluation suites that mutate prompts, models, retrieval policies, generated code, and node structure before promotion.