Individual AI Productivity
Equip employees with AI assistants and tools that improve everyday knowledge work, creativity and decision support.
- AI assistants
- Knowledge work
- Personal productivity
The EAOC Framework
Build the organizational capability that makes AI valuable.
Enterprise AI Operating Capability connects strategy, execution, governance and adoption into a repeatable system for translating AI opportunities into sustainable business outcomes.
A working definition
What is Enterprise AI Operating Capability?
An enterprise's repeatable ability to identify, prioritize, implement, govern, adopt and continuously improve AI-enabled ways of working that deliver measurable business outcomes.
Enterprise AI application domains
Three value domains connected by one governance layer.
The first three domains describe where AI creates value. Enterprise AI Governance operates across all three to make that value trusted, scalable and sustainable.
AI Embedded in Business
Integrate AI into business processes, products and solutions to improve experiences, decisions and outcomes.
- Business processes
- Products & solutions
- Decision intelligence
AI-Powered Operations
Apply AI and automation to IT operations and service delivery to make services more proactive, predictive and resilient.
- Service delivery
- Intelligent operations
- Self-Driving IT
04
AI Governance
Cross-cutting across all three AI domains
Establish the accountability, risk practices and controls required to use AI responsibly and with confidence.
- Responsible AI
- Risk & security
- Policy & assurance
How the model fits together:
The three application domains describe where AI creates value. Governance is the cross-cutting layer that connects them. The six EAOC dimensions below describe what the organization must build to deliver that value repeatedly.
Six connected EAOC dimensions
What the organization must mature as one operating system.
01
Strategy, Value & Portfolio
Connect AI ambition, investment and portfolio decisions to strategic priorities and measurable outcomes.
- Strategic alignment
- Use-case portfolio
- Value realization
02
Ownership & Operating Model
Define decision rights and accountable Value, Delivery and Adoption, and Risk ownership.
- Decision rights
- Accountable owners
- Funding & governance forums
03
Data, Technology & Engineering
Create trusted data, scalable architecture and reliable engineering practices for production AI.
- Trusted data
- Architecture & integration
- Deployment & monitoring
04
Process & Workforce Adoption
Redesign workflows, clarify human–AI responsibilities and sustain role-based adoption.
- Workflow redesign
- Human–AI roles
- Change & adoption
05
Governance & Risk
Apply proportionate controls based on impact, autonomy, data sensitivity and reversibility.
- Risk classification
- Security & privacy
- Oversight & rollback
06
Measurement & Improvement
Prove outcomes against baselines, learn continuously and redirect investment using evidence.
- Outcome baselines
- Performance evidence
- Learning & capital reallocation
The EAOC lifecycle
Move from AI opportunity to proven value through evidence.
Every use case moves through a governed lifecycle with clear ownership, evidence and outcome measures.
01Frame
02Baseline
03Prioritize
04Validate
05Deploy
06Prove
07Scale or Retire
08Improve
Maturity journey
Build an adaptive capability that enables an increasingly AI-native enterprise.
Exploring
Experiments, tools and isolated use cases with limited business integration.
Emerging
Structured pilots and early ownership, but inconsistent evidence and scaling.
Defined
A common operating model with clear roles, lifecycle, governance and measurement.
Scaled
Repeatable enterprise delivery, sustained adoption and measurable value at scale.
Adaptive
A continuously improving capability that dynamically adjusts portfolio, controls and ways of working.
Adaptive describes the maturity of the operating capability.
AI-native describes the organizational state that this capability increasingly enables—not a maturity score or a requirement to use AI everywhere.
Make the framework practical