AI agent readiness should not depend on a single demo. A useful dashboard combines quality, safety, operations, cost, and customer signals so the team can decide whether to expand, pause, or narrow scope.
Quality KPIs
Track task success rate, grounded-answer rate, citation accuracy, regression pass rate, and the number of unresolved failure modes. A rising success rate matters only if the test set still reflects real customer workflows.
Safety KPIs
Track blocked tool calls, human approval rate, policy violations, prompt-injection test failures, and incidents by severity. A good launch does not mean zero blocked actions; it means the right actions are blocked for clear reasons.
Operational KPIs
Track trace completeness, replayability, tool latency, retry rate, timeout rate, and fallback success. If the team cannot reconstruct a bad run, the dashboard is missing the most important operational metric.
Cost KPIs
Track cost per completed task, cost per escalation, token spend by workflow, cache hit rate, and expensive-model usage. Cost controls should be tied to completed work, not just aggregate token charts.
Customer KPIs
Track repeat use, self-assessment starts, audit-page visits, contact clicks, support questions, and user-reported failures. These signals show whether the agent creates trust, not only whether it works in a test harness.
Quick checklist
- Use one dashboard for launch decisions, not separate disconnected reports.
- Review KPIs weekly while the agent scope is changing.
- Tie each KPI to an owner and a threshold.
- Keep a narrow “””do not expand scope if””” section.
- Archive dashboard snapshots before major releases.
How to use this
Use this guide as a working review aid, not as a compliance certificate. A team preparing an AI agent for production should pair it with traces, test cases, policy decisions, and a named owner for each unresolved risk.
Related IBBS resources
- AI Agent Observability Checklist
- AI Agent Production Readiness Checklist
- AI Agent Production Readiness Solution
AI Agent Readiness KPI Dashboard: A compact KPI dashboard for tracking whether an AI agent is ready for more users, broader permissions, or production rollout. Read it at https://ibbs.ai/2026/07/07/ai-agent-readiness-kpi-dashboard/
If your team is preparing an AI agent for production and wants an outside review, start with the AI Agent Readiness Self-Assessment or review the sample audit report.