Generative Metrics Institute

AI-Era KPIs for Process Industries

Proposed performance indicators for process industries operations where AI and automation create decisions that legacy metrics cannot measure.

17
Proposed KPIs
7
Categories
← All Verticals

AI Process Optimization Integrity (3 KPIs)

APC Model-Plant Mismatch Index (APMMI) (APMMI)
GMI-PI-003 Integration-Required
Constraint Boundary Time-at-Risk (CBTR) (CBTR)
GMI-PI-001 Pilot-Ready
Multi-Objective Tradeoff Drift Index (MOTDI) (MOTDI)
GMI-PI-002 Integration-Required

Alarm and Operator Decision Support Quality (2 KPIs)

Precursor Signal Suppression Rate (PSSR) (PSSR)
GMI-PI-011 Integration-Required
Situation Grouping Completeness (SGC) (SGC)
GMI-PI-012 Integration-Required

Fouling and Catalyst Lifecycle Economics (2 KPIs)

Catalyst Upset Damage Factor (CUDF) (CUDF)
GMI-PI-008 Integration-Required
Cleaning Effectiveness Degradation Index (CEDI) (CEDI)
GMI-PI-007 Pilot-Ready

Fouling and Catalyst Lifecycle Economics (cross-listed with Predictive Integrity) (1 KPIs)

Fouling-Corrosion Interaction Score (FCIS) (FCIS)
GMI-PI-009 Infrastructure-Dependent

Predictive Integrity and Corrosion Management (3 KPIs)

Cross-Model Interaction Index (CMII) (CMII)
GMI-PI-006 Infrastructure-Dependent
Inspection Deferral Risk Accumulation (IDRA) (IDRA)
GMI-PI-004 Pilot-Ready
Mechanism Attribution Accuracy (MAA) (MAA)
GMI-PI-005 Integration-Required

Process Twin and Simulation Reliability (1 KPIs)

Twin Calibration Drift Index (TCDI) (TCDI)
GMI-PI-010 Integration-Required

Safety, Environmental and Regulatory Margin Governance (5 KPIs)

Blend Give-Away Distribution Index (BGDI) (BGDI)
GMI-PI-016 Pilot-Ready
Permit Margin Consumption Index (PMCI) (PMCI)
GMI-PI-014 Pilot-Ready
SIS Proof Test Deferral Risk Index (SPTDRI) (SPTDRI)
GMI-PI-013 Integration-Required
Transient Emissions Accuracy Gap (TEAG) (TEAG)
GMI-PI-015 Integration-Required
Turnaround Scope Deferral Index (TSDI) (TSDI)
GMI-PI-017 Pilot-Ready

Maturity Distribution

Pilot-Ready
6
Integration-Required
9
Infrastructure-Dependent
2

Frequently Asked Questions

What KPIs should Process Industries operations track for AI?

The Generative Metrics Discovery Framework has produced 17 proposed KPIs for Process Industries across 7 categories, including APC Model-Plant Mismatch Index (APMMI), Constraint Boundary Time-at-Risk (CBTR), Multi-Objective Tradeoff Drift Index (MOTDI). Each specification includes a computable formula, data source mappings, a maturity classification, and a validation pilot design.

Why do existing Process Industries KPIs miss AI decisions?

Legacy Process Industries 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 Process Industries KPIs?

Of the 17 proposed KPIs, the maturity distribution is: 6 Pilot-Ready, 9 Integration-Required, 2 Infrastructure-Dependent. 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 Process Industries KPI catalog?

The AI-Era Process Industries 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.