Control Objectives
Accuracy Benchmark Coverage
Establish and maintain accuracy benchmarks for all agents against ground truth data to detect performance degradation.
Undetected accuracy degradation
% agents with accuracy benchmarks
Latency Standards Compliance
Monitor agent response times against defined SLAs to ensure acceptable user experience.
Poor user experience from slow agents
% agents meeting latency SLA
Throughput Adequacy
Monitor agent throughput against demand to identify capacity bottlenecks before they impact users.
Capacity bottlenecks
Throughput vs. demand ratio
Consistency and Reproducibility
Measure and monitor agent response consistency to ensure predictable, reproducible behavior.
Unpredictable agent behavior
Response variance score
Continuous Evaluation Execution
Run continuous evaluation pipelines to detect performance drift between releases.
Performance drift between releases
Evaluation pipeline uptime
Regression Detection
Detect and alert on performance regressions from model updates or configuration changes.
Degradation from model updates
Time to detect regression
Hallucination Monitoring
Monitor and measure hallucination rates to prevent factual errors that damage trust.
Factual errors damaging trust
Hallucination rate
Business Outcome Correlation
Correlate agent technical metrics with business outcomes to ensure agents deliver actual value.
Technical success without business value
Outcome correlation score
Underperformer Identification
Quickly identify agents that are underperforming relative to their peers or benchmarks.
Poor agents damaging business
Time from degradation to flag
Remediation Timeliness
Track and optimize time to remediate identified performance issues.
Prolonged exposure to poor performance
Mean time to remediate
Audit Completion Rate
Ensure scheduled performance and quality audits are completed to maintain governance coverage.
Governance gaps from missed audits
% scheduled audits completed
Feedback Loop Effectiveness
Capture and incorporate user feedback to continuously improve agent performance.
Improvement signals not captured
Feedback incorporation rate
Quick Reference
| ID | Objective | Primary Risk Addressed | Key Metric |
|---|---|---|---|
| PRF-01 | Accuracy Benchmark Coverage | Undetected accuracy degradation | % agents with accuracy benchmarks |
| PRF-02 | Latency Standards Compliance | Poor user experience from slow agents | % agents meeting latency SLA |
| PRF-03 | Throughput Adequacy | Capacity bottlenecks | Throughput vs. demand ratio |
| PRF-04 | Consistency and Reproducibility | Unpredictable agent behavior | Response variance score |
| PRF-05 | Continuous Evaluation Execution | Performance drift between releases | Evaluation pipeline uptime |
| PRF-06 | Regression Detection | Degradation from model updates | Time to detect regression |
| PRF-07 | Hallucination Monitoring | Factual errors damaging trust | Hallucination rate |
| PRF-08 | Business Outcome Correlation | Technical success without business value | Outcome correlation score |
| PRF-09 | Underperformer Identification | Poor agents damaging business | Time from degradation to flag |
| PRF-10 | Remediation Timeliness | Prolonged exposure to poor performance | Mean time to remediate |
| PRF-11 | Audit Completion Rate | Governance gaps from missed audits | % scheduled audits completed |
| PRF-12 | Feedback Loop Effectiveness | Improvement signals not captured | Feedback incorporation rate |