Enterprise AI Operating Capability

Turning AI pilots into measurable enterprise value.

Pilots to Value helps organizations build six connected operating dimensions required to turn AI opportunities into governed, adopted and measurable enterprise outcomes.

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SVStrategy, Value Portfolio

OMOwnership Operating Model

DTData, Technology Engineering

PAProcess Workforce Adoption

GRGovernance Risk

MIMeasurement Improvement

Measurable
enterprise value

From possibility to operating capability

AI value is not created by technology alone.

Enterprises scale AI when strategy, ownership, data, technology, adoption, governance and measurement operate as one connected system—not as isolated programs.

SV01

Strategy, Value & Portfolio

Connect AI ambition, investment and portfolio decisions to strategic priorities and measurable outcomes.

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OM02

Ownership & Operating Model

Define decision rights and accountable Value, Delivery and Adoption, and Risk ownership.

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DT03

Data, Technology & Engineering

Create trusted data, scalable architecture and reliable engineering practices for production AI.

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PA04

Process & Workforce Adoption

Redesign workflows, clarify human–AI responsibilities and sustain role-based adoption.

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GR05

Governance & Risk

Apply proportionate controls based on impact, autonomy, data sensitivity and reversibility.

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MI06

Measurement & Improvement

Prove outcomes against baselines, learn continuously and redirect investment using evidence.

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From pilots to value

Move from experimentation to repeatable value creation.

Align

Connect AI investments to strategic priorities and measurable outcomes.

Operationalize

Turn promising ideas into governed, repeatable enterprise capabilities.

Adopt

Redesign work and equip people to use AI confidently and responsibly.

Realize value

Track impact, learn continuously and scale what works.

From capability to operating model

What might AI make possible when it becomes part of how IT operates?

Self-Driving IT is one practical expression of Enterprise AI Operating Capability.

It explores how IT services can progressively become more proactive, predictive, automated and self-resolving—while people retain oversight, accountability and control.

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01Reactive

02Automated

03Proactive

04Predictive

05Increasingly autonomous

A practical enterprise perspective

Organizations do not scale AI by accumulating more tools. They scale AI by building the capability to turn technology into trusted, adopted and measurable ways of working.

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Start with the right question

Where is your organization on the journey from AI possibility to value?

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