Generative Metrics Institute

AI-Era KPIs for Corporate Real Estate

Proposed performance indicators for corporate real estate operations where AI and automation create decisions that legacy metrics cannot measure.

8
Proposed KPIs
3
Categories
← All Verticals

Lease & Portfolio Intelligence Accuracy (1 KPIs)

Lease Abstraction Error Cost (LAEC)
GMI-CRE-003 Integration-Required

Space Intelligence and Workplace Effectiveness (2 KPIs)

Occupancy Prediction Service Impact (OPSI) (OPSI)
GMI-CRE-002 Pilot-Ready
Space Value Index (SVI) (SVI)
GMI-CRE-001 Integration-Required

Workplace Optimization Alignment (5 KPIs)

Adjacency Strategy Alignment Score (ASAS)
GMI-CRE-006 Infrastructure-Dependent
Amenity Contribution to Talent Index (ACTI)
GMI-CRE-008 Research-Forward
EV Infrastructure Forecast Alignment (EVIFA)
GMI-CRE-005 Infrastructure-Dependent
Move Productivity Impact Duration (MPID)
GMI-CRE-007 Infrastructure-Dependent
Parking Pricing Equity Distribution Index (PPEDI)
GMI-CRE-004 Integration-Required

Maturity Distribution

Pilot-Ready
1
Integration-Required
3
Infrastructure-Dependent
3
Research-Forward
1

Frequently Asked Questions

What KPIs should Corporate Real Estate operations track for AI?

The Generative Metrics Discovery Framework has produced 8 proposed KPIs for Corporate Real Estate across 3 categories, including Lease Abstraction Error Cost, Occupancy Prediction Service Impact (OPSI), Space Value Index (SVI). Each specification includes a computable formula, data source mappings, a maturity classification, and a validation pilot design.

Why do existing Corporate Real Estate KPIs miss AI decisions?

Legacy Corporate Real Estate 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 Corporate Real Estate KPIs?

Of the 8 proposed KPIs, the maturity distribution is: 1 Pilot-Ready, 3 Integration-Required, 3 Infrastructure-Dependent, 1 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 Corporate Real Estate KPI catalog?

The AI-Era Corporate Real Estate 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.