Track and monitor AI systems
See real-time AI system insights through custom queries, dashboards, and proactive alerts in this practical SUPERWISE monitoring demo.
What's in this video
- Create custom queries for operational AI system data.
- Use dashboards to review real-time signals in one place.
- Set proactive alerts for conditions the team needs to investigate.
Frequently asked questions
Topics from this video and why governed AI matters.
- How do you track and monitor AI systems in SUPERWISE?
- You track everything in your AI systems whether built in SUPERWISE or not. An out-of-the-box conversation dataset and metafeatures (response time, refusal rate, etc.) let you build statistics, time series, and distribution queries. Dashboards and policies give real-time observability and proactive alerts.
- What are metafeatures in AI observability?
- Metafeatures are external signals about each question and response: response time, refusal rate, detected language, and more. SUPERWISE computes them automatically so you can query and alert on behavior without custom instrumentation.
- How do monitoring policies and alerts work?
- You define policies (e.g. alert when average response time exceeds 15 seconds) and run them on a schedule. When a threshold is crossed, SUPERWISE sends notifications to channels like Slack. That keeps your team ahead of incidents.
- Why is observability critical for governed AI?
- You cannot govern what you cannot see. SUPERWISE combines conversation data, metafeatures, dashboards, and policies so you monitor agent health, catch drift, and prove compliance in one place.
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