Enterprise Intelligence Operating Model™: A practitioner framework for funding, governing, sequencing, operating, and measuring enterprise intelligence capabilities

Enterprise Intelligence Operating Model™ v1.0 is a practitioner framework for establishing the governance, ownership, operating cadence, funding logic, escalation paths, and value-accountability mechanisms required to sustain enterprise intelligence capabilities at scale. The framework defines four connected operating layers—Portfolio Governance, Capability Ownership, Execution Forums, and Value Measurement—supported by the cross-cutting mechanisms of Funding, Escalation, and Accountability. It provides organizations with a structured approach for moving beyond isolated AI and data initiatives toward a durable institutional operating capability. Developed by Rakesh Kumar Agrawal and published by Enterprise Intelligence Lab, the framework is intended for enterprise leaders, architects, AI and data practitioners, governance professionals, researchers, and organizations designing scalable enterprise intelligence operating models.