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Digital Transformation Strategy

Digital Transformation Strategy provides a structured approach to turning digital and AI opportunities into a coherent transformation agenda. The program examines changing customer expectations, digital business models, data and technology capabilities, operating-model choices, and the organizational conditions required for transformation. Participants assess digital maturity, identify strategic priorities, build a sequenced transformation portfolio, and develop a practical roadmap that connects investments, capabilities, governance, change, and measurable business outcomes.

Paris

5 days

December 21, 2026 – December 25, 2026

Price

EUR 5,500

Initial Enrollment Request

Learning Objectives

Assess the forces driving digital and AI-enabled disruption in an industry or organization.
Evaluate digital maturity across strategy, customer experience, data, technology, operations, and culture.
Define a transformation ambition linked to competitive advantage and measurable business value.
Prioritize transformation initiatives using value, feasibility, dependency, and risk criteria.
Design governance, capability, and change mechanisms that support execution.
Build a sequenced digital transformation roadmap with ownership, milestones, and performance measures.

Detailed Daily Schedule

Day 1 — Digital Disruption and Transformation Ambition

Examine how digital technologies and AI reshape customers, competitors, and value chains.
Distinguish digitization, digitalization, and enterprise transformation.
Identify strategic threats, opportunities, and emerging business models.
Define the business outcomes transformation must achieve.
Formulate a clear transformation ambition aligned with corporate strategy.

Day 2 — Digital Maturity and Strategic Priorities

Assess maturity across customer, operations, data, technology, talent, and culture.
Identify capability gaps that constrain transformation.
Analyze customer journeys and operational pain points for digital opportunity.
Prioritize value pools and strategic transformation themes.
Establish a fact base for investment and sequencing decisions.

Day 3 — Designing the Transformation Portfolio

Convert strategic priorities into initiatives and workstreams.
Evaluate initiatives by value, feasibility, dependency, risk, and time to impact.
Balance foundational capabilities with visible business wins.
Examine platform, data, automation, and AI investment choices.
Build a coherent portfolio rather than a collection of disconnected projects.

Day 4 — Operating Model, Governance and Change

Define sponsorship, ownership, funding, and decision rights.
Select governance mechanisms for portfolio oversight and rapid decisions.
Align technology delivery with business ownership and cross-functional execution.
Address culture, skills, resistance, and new ways of working.
Design performance measures and transformation review routines.

Day 5 — Building and Stress-Testing the Roadmap

Sequence initiatives around dependencies, capability building, and value delivery.
Define milestones, resources, accountable owners, and decision gates.
Establish transformation KPIs and benefits-realization measures.
Test the roadmap against execution risks and changing assumptions.
Produce a practical digital and AI transformation roadmap for leadership alignment.