Introducing Customer Monitoring: Product Analytics for B2B AI Agents
Blog post from Confident AI
Confident AI has introduced Customer Monitoring, a product analytics feature for B2B AI agents that organizes trace, evaluation, and classifier data around customer accounts rather than only individual users. The feature provides account-level views of cost, activity, sentiment, recurring issues, use cases, and user-level details, while allowing teams to inspect the underlying traces and conversations behind each metric. By connecting product analytics directly to production evaluations, it aims to help product managers identify account health and usage patterns, customer success teams prepare for customer concerns, and engineers diagnose issues such as retrieval failures or broken tool calls. Customers can be attributed to traces by adding customer and user information to the existing tracing context, with account dashboards populating as traffic arrives.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| AI Agents | 3 | 931 | 231 | 103 | -84% |
| AI Guardrails | 2 | 35 | 22 | 12 | -94% |
| LLM | 2 | 747 | 162 | 79 | -85% |
| Observability | 2 | 472 | 102 | 54 | -85% |
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