Generative Metrics Institute

AI-Era KPIs for Maximo Application Suite

Proposed performance indicators for maximo application suite operations where AI and automation create decisions that legacy metrics cannot measure.

32
Proposed KPIs
6
Categories
← All Verticals

Assistant Answer Integrity (6 KPIs)

Answer Truncation Rate (ATR)
GMI-MAS-001 Infrastructure-Dependent
Cross-Tool Answer Coherence (CTAC)
GMI-MAS-004 Research-Forward
Insight Currency at Answer (ICA)
GMI-MAS-002 Integration-Required
Query Reformulation Index (QRI)
GMI-MAS-006 Infrastructure-Dependent
Scope-Narrowed Answer Rate (SNAR)
GMI-MAS-003 Integration-Required
Unsurfaced Error Rate (UER)
GMI-MAS-005 Infrastructure-Dependent

Insight Confidence and Verification (6 KPIs)

Configuration Sensitivity Delta (CSD)
GMI-MAS-011 Research-Forward
Failure Hypothesis Confirmation Rate (FHCR)
GMI-MAS-008 Integration-Required
Insight Confidence Separation (ICS)
GMI-MAS-007 Integration-Required
Insight Net Action Yield (INAY)
GMI-MAS-012 Integration-Required
Out-of-Source Signal Rate (OSSR)
GMI-MAS-010 Research-Forward
Strategy Coverage Deficit (SCD)
GMI-MAS-009 Pilot-Ready

Classification and Extraction Fidelity (5 KPIs)

Extraction Null Ambiguity Rate (ENAR)
GMI-MAS-017 Research-Forward
Field Extraction Accuracy (FEA)
GMI-MAS-016 Integration-Required
Inference Filter Coverage (IFC)
GMI-MAS-015 Pilot-Ready
Rare Category Miss Score (RCMS)
GMI-MAS-013 Integration-Required
Suggestion Acceptance Quality (SAQ)
GMI-MAS-014 Integration-Required

Model Lifecycle and Training Governance (5 KPIs)

Configuration Adequacy Persistence (CAP)
GMI-MAS-021 Pilot-Ready
Generated Corpus Fraction (GCF)
GMI-MAS-019 Infrastructure-Dependent
Retraining Response Latency (RRL)
GMI-MAS-020 Integration-Required
Training Population Divergence (TPD)
GMI-MAS-018 Pilot-Ready
Untrained Reactivation Rate (URR)
GMI-MAS-022 Pilot-Ready

Custom Tool and MCP Surface Governance (5 KPIs)

Agent Origin Traceability (AOT)
GMI-MAS-026 Integration-Required
AI Surface Enumeration Completeness (ASEC)
GMI-MAS-023 Pilot-Ready
Registered Tool Utilization (RTU)
GMI-MAS-025 Infrastructure-Dependent
Tool Authorization Parity (TAP)
GMI-MAS-027 Integration-Required
Workflow Bypass Rate (WBR)
GMI-MAS-024 Pilot-Ready

AI Consumption, Rationing, and Access (5 KPIs)

AI Service Value Density (ASVD)
GMI-MAS-029 Integration-Required
Budget-Constrained Request Rate (BCRR)
GMI-MAS-028 Integration-Required
Insight Regeneration Avoidance (IRA)
GMI-MAS-030 Infrastructure-Dependent
Language Exclusion Share (LES)
GMI-MAS-031 Pilot-Ready
Scenario Coverage Concentration (SCC)
GMI-MAS-032 Research-Forward

Maturity Distribution

Pilot-Ready
8
Integration-Required
13
Infrastructure-Dependent
6
Research-Forward
5

Frequently Asked Questions

What KPIs should Maximo Application Suite operations track for AI?

The Generative Metrics Discovery Framework has produced 32 proposed KPIs for Maximo Application Suite across 6 categories, including Answer Truncation Rate, Cross-Tool Answer Coherence, Insight Currency at Answer. Each specification includes a computable formula, data source mappings, a maturity classification, and a validation pilot design.

Why do existing Maximo Application Suite KPIs miss AI decisions?

Legacy Maximo Application Suite 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.

How mature are the proposed Maximo Application Suite KPIs?

Of the 32 proposed KPIs, the maturity distribution is: 8 Pilot-Ready, 13 Integration-Required, 6 Infrastructure-Dependent, 5 Research-Forward. Maturity reflects the data infrastructure required to compute each KPI. All KPIs and thresholds are proposed, pending validation pilots.

Where can I get the full Maximo Application Suite KPI catalog?

The AI-Era Maximo Application Suite 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.