Generative Metrics Institute

AI-Era KPIs for MLOps / AI Platform Operations

Proposed performance indicators for mlops / ai platform operations operations where AI and automation create decisions that legacy metrics cannot measure.

22
Proposed KPIs
5
Categories
← All Verticals

Evaluation Integrity (4 KPIs)

Eval-Outcome Divergence Index (EODI)
GMI-MLOPS-001 INTEGRATION-REQUIRED
Eval Task Coverage Ratio (ETCR)
GMI-MLOPS-003 INTEGRATION-REQUIRED
LLM Judge Calibration Index (LJCI)
GMI-MLOPS-002 INTEGRATION-REQUIRED
Segment Quality Divergence Rate (SQDR)
GMI-MLOPS-004 INTEGRATION-REQUIRED

Autonomous Change Governance (5 KPIs)

Change Review Absorption Ratio (CRAR)
GMI-MLOPS-009 PILOT-READY
Governed Change Coverage Ratio (GCCR)
GMI-MLOPS-008 INTEGRATION-REQUIRED
Promotion Review Substance Index (PRSI)
GMI-MLOPS-007 PILOT-READY
Retrain Net Economic Yield (RNEY)
GMI-MLOPS-006 INTEGRATION-REQUIRED
Rollback Decision Correctness Rate (RCR)
GMI-MLOPS-005 PILOT-READY

Serving Economics and Coherence (4 KPIs)

Drift Alert Actionable Yield (DAAY)
GMI-MLOPS-012 PILOT-READY
Drift Signal Attribution Accuracy (DSAA)
GMI-MLOPS-013 INTEGRATION-REQUIRED
Guardrail Net Protection Yield (GNPY)
GMI-MLOPS-011 RESEARCH-FORWARD
Routing Quality Retention Rate (RQRR)
GMI-MLOPS-010 INTEGRATION-REQUIRED

Data and Feedback Loop Integrity (4 KPIs)

Feature Parity Index (FPI)
GMI-MLOPS-016 INTEGRATION-REQUIRED
Outcome Signal Return Rate (OSRR)
GMI-MLOPS-015 INTEGRATION-REQUIRED
Pipeline Remediation Recurrence Rate (PRRR)
GMI-MLOPS-017 PILOT-READY
Training Data Recursion Fraction (TDRF)
GMI-MLOPS-014 INFRASTRUCTURE-DEPENDENT

Estate and Capacity Governance (5 KPIs)

Change Attribution Success Rate (CASR)
GMI-MLOPS-022 INFRASTRUCTURE-DEPENDENT
Eval Workload Segregation Index (EWSI)
GMI-MLOPS-020 PILOT-READY
Model Estate Utilization Rate (MEUR)
GMI-MLOPS-019 PILOT-READY
Model Inventory Completeness Ratio (MICR)
GMI-MLOPS-018 INFRASTRUCTURE-DEPENDENT
Novel Incident Response Capability Index (NIRCI)
GMI-MLOPS-021 RESEARCH-FORWARD

Maturity Distribution

Frequently Asked Questions

What KPIs should MLOps / AI Platform Operations track for AI?

The Generative Metrics Discovery Framework has produced 22 proposed KPIs for MLOps / AI Platform Operations across 5 categories, including Eval-Outcome Divergence Index, Eval Task Coverage Ratio, LLM Judge Calibration Index. Each specification includes a computable formula, data source mappings, a maturity classification, and a validation pilot design.

Why do existing MLOps / AI Platform Operations KPIs miss AI decisions?

Legacy MLOps / AI Platform Operations metrics were defined before AI systems began creating operational decisions. When an AI capability creates a new decision, that decision carries failure modes that no existing metric is structurally capable of detecting. The framework maps each AI capability to the decisions it creates and defines the measurement gap behind each invisible failure mode.

Where can I get the full MLOps / AI Platform Operations KPI catalog?

The AI-Era MLOps / AI Platform Operations Reference Catalog presents the complete KPI set in a compact reference format and publishes through Amazon KDP. The free AI-GPS Assessment also produces vertical-specific KPI recommendations for your implementation roadmap.

Assess Your Organization

The AI-GPS Assessment evaluates your AI governance maturity and recommends specific KPIs from this vertical for your implementation roadmap.

Take the Free AI-GPS Assessment

All KPIs are proposed, not proven. Developed using the patent-pending Generative Metrics Discovery Framework.