Agent
Benchmark
Log
// MSP AI Platform — Performance tracking & retirement signals
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Agent Details
Agent Name *
Phase
Phase 01 — Governance Setup
Phase 02 — Platform Deploy
Phase 03 — Agent Rollout
Phase 04 — Optimization
Owner / Builder
Deploy Date
Model Used
Description
Baseline Metrics (at deployment)
Set these once at deployment. They become the benchmark all future entries are measured against.
Resolution Rate (%)
% handled without escalation
Accuracy (%)
Correct / acceptable output rate
Time Saved / Week (hrs)
Hours saved vs manual baseline
Token Cost ($ per interaction)
Average cost per call
Escalation Rate (%)
% escalated to human
User Satisfaction (1–5)
Average score from feedback
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Log Performance Entry
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Measurement Period
Date *
Logged By
Metrics
Resolution Rate (%)
Accuracy (%)
Time Saved / Week (hrs)
Token Cost ($ / interaction)
Escalation Rate (%)
User Satisfaction (1–5)
Notes
Notes / Context
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