Businesses generate large volumes of data and experiment with AI. The real challenge is translating their potential into performance — embedding insight, prediction, and automation into how the business operates every day.

This engagement helps leadership teams define how data and AI create business advantage: where they can change performance, what capabilities are required, and how to organize for sustained impact.

It connects data architecture, analytics, and AI with business priorities and operating models — creating a single view of direction, investment, and governance.

The work builds on the Digital Strategy Framework, deepening two of its core dimensions — Data & AI and Governance — to establish the structure and discipline for enterprise-wide data value creation..

What It Delivers

A connected set of deliverables — from assessment to design and roadmap — that align leadership around direction, value, and execution:

Diagnostic – data and AI maturity across business, analytics, architecture, and governance
Vision and Value Map – how insight, prediction, and automation connect to strategic goals
Use Case Portfolio – prioritized opportunities linking business impact to feasibility
Capability Blueprint – data, platforms, organization, and skills required to deliver value
Roadmap and Investment – phased initiatives from quick wins to long-term foundations
Governance – decision rights, standards, and ownership of responsible data and AI

How It Works

A structured six-stage playbook – adaptable in depth and pace:

Discovery – assess maturity, challenges, and opportunities across data and AI domains
Vision and Value – define ambition and where data and AI will have the greatest impact
Domains Strategies – initiatives and use cases to drive value in key functions
Capabilities – define the architecture, governance, and operating model required
Integration – connect all elements into a cohesive roadmap and investment plan
Mobilization (optional) – set up data and AI governance, talent programs, and delivery

Each stage produces tangible outputs – assessments, maps, and decisions – ensuring clarity and alignment at every step.

Guiding Principles

Business first – start from value, not from data or technology
Simplicity and focus – strategic pillars with fewer, higher-value use cases executed well
Federation with discipline – combine local ownership with shared standards
Data as a product – designed, managed, and improved as a business capability
Responsible AI – align innovation, governance, and ethics in design and delivery

Effort and Format

Duration: typically 6–8 weeks
Format: interviews, analysis, and design workshops
Deliverables: maturity scorecard, vision map, use case portfolio, capability blueprint, roadmap

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Extensions

This engagement extends the Digital Strategy and connects with other offerings:

AI Posture & Roadmap
Operating Model Alignment
Digital Business Platform Strategy