IMD business school for management and leadership courses

shadoka - IMD Business School shadoka - IMD Business School shadoka - IMD Business School
Hands-on lab and implementation engine
Innovation and Transformation in the Age of AI
Hands-on lab and implementation engine

Innovation and Transformation in the Age of AI

AI’s value gap: closing the distance between pilots and performance

Only 5% of companies report extracting significant value from their AI initiatives. The gap is not in the technology. It is in the pipeline, the governance, and the leadership capabilities needed to make it real.

AI technology alone does not confer a durable competitive advantage. Your competitors will have access to the same models, tools, and vendors. The advantage comes from how well your organization chooses, governs, deploys, and continuously improves AI across the enterprise. Doing this effectively requires leadership alignment, operating discipline, a portfolio mindset, and the human systems that make adoption stick.

20260209-Faculty-Executives_In_Residence-Faisal_Hoque-Topbanner-Tablet-2400x1100 - IMD Business School

AI won’t be what sets you apart. Your competitors have the same models. What you build around them—the innovation pipeline, the governance, the people—is where durable advantage lives.

Faisal Hoque IMD Executive Fellow, North America Program Co-Director, Founder of Shadoka
20220817-FacultyTopBanners-1440×560-Amit_JOSHI - IMD Business School

Generative and Agentic AI can create new value at scale. To achieve durable financial returns, you need to build organizational capability to deploy new AI solutions fast. Developing people who know how to design and work together with such AI systems is key to this.

Amit Joshi Professor of AI and Strategy
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What we offer: three interconnected components

Every custom business learning solution is built around three components, configured to your organization’s specific context, maturity, and strategic priorities.

Leadership capabilities

Equip your leadership team with the AI fluency, strategic mindset, and organizational capacity to own and sustain transformation without depending on external consultants.

AI innovation pipeline

Build a repeatable system for identifying, prioritizing, and scaling AI initiatives – moving from scattered pilots to a managed portfolio that delivers compounding value.

Responsible AI governance

Establish the accountability structures, risk frameworks, and decision rights your organization needs to govern AI responsibly – before regulators, boards, or incidents force the issue.

What changes after engagement

Measurable change across strategy, capability, and culture.

A clear, shared view of your AI readiness and the gaps that matter most

A leadership team aligned around a common language for AI strategy, innovation, and risk

A repeatable management system — with governance, portfolio structures, and real decision rights — that your teams own and operate

A live innovation portfolio prioritized against your strategic objectives

The internal capability to manage the next wave of AI change without starting from scratch

Stronger governance and trust, grounded in a human-centric approach designed for employees, customers, and stakeholders

Three stages. Scoped to your organization.

This is not a prepackaged solution. Every engagement is designed around your organization’s specific context. Scope, depth, and duration are determined collaboratively.

Stage 1: Readiness assessment

A focused diagnostic of your organization’s AI maturity, leadership alignment, capability gaps, and risk posture. The Assessment stage culminates in an Art of Possibilities session that equips leadership to systematically identify and prioritize AI opportunities. This stage creates alignment, establishes a baseline, and shapes what comes next.

Stage 2: Custom executive education & alignment

Custom programs designed and delivered by IMD faculty and Shadoka practitioners that build a common language across your leadership team for AI strategy, innovation, risk, and human-AI collaboration. Programs are tailored to your business context and designed to deliver measurable, scalable outcomes.

Stage 3: Enablement & execution

The methods, playbooks, advisory support, and digital platform your teams need to build and manage portfolios of AI initiatives from ideation through scaled deployment. The goal is to equip your organization to run this system independently, rather than creating the kind of expensive dependency that consulting often encourages.

Example of program architecture: a sample engagement

The following illustrates a representative engagement. Every program is designed collaboratively; scope, sequence, and delivery format are configured to your organization. Programs can be tiered across leadership levels – from the C-suite and board to functional leaders and high-potentials.

Stage 1: Readiness Assessment

Inspire
Half-day interactive leadership session. Builds shared understanding of AI’s strategic potential, introduces a common language for innovation and risk, surfaces initial opportunities.

Identify
Qualitative and quantitative assessment via digital platform, mapping current AI initiatives, strategic priorities, leadership readiness, capability gaps, governance posture, and cross-functional alignment.

Outputs
AI Readiness Report, gap analysis, and tailored recommendations for Stage 2+3 design.

Stage 2: Custom Education and Alignment

A blended learning experience combining in-person and virtual sessions, co-designed by IMD faculty and Shadoka practitioners. Sample modules:

AI Strategy & Leadership Fluency
Building alignment and a common language for AI-enabled transformation across the leadership team.

AI Innovation & Portfolio Management
Frameworks for identifying, prioritizing, and managing a portfolio of AI initiatives from ideation to scaled deployment.

AI Governance & Risk
Accountability structures, decision rights, and responsible AI practices for regulated environments.

Human-AI Collaboration
Designing the operating models, cultural shifts, and reskilling strategies that make adoption stick.

Delivery options: On-site at your location, virtual sessions, or delivery at IMD’s campuses. Action learning projects tied to your strategic priorities with faculty mentoring.

Stage 3: Enablement and Execution

Innovation & AI Transformation Portfolio
Custom planning workshop to develop an initial set of AI innovation opportunities and potential risks linked to strategic priorities. Apply evaluation lenses (value, feasibility, risk, time horizon) to shape a prioritized portfolio.

Design & Implementation
Implement a portfolio-based framework for managing AI innovation and risk. Support selected internal teams through labs and working sessions. Clarify decision rights, governance routines, and review cadences. Activate the digital transformation management platform.

Outcomes
A repeatable management system for AI innovation and risk. A live innovation portfolio. Internal teams confident in using these tools independently. On-demand advisory support as needed.

Digital platform

Each engagement includes a purpose-built digital application that turns frameworks into live management systems. The app serves as both the hands-on lab where teams do the work and the management layer that keeps programs on track.

Guided frameworks

Innovation and risk frameworks built into every workflow — structured for execution, not observation.

Structured assessments

Diagnostic batteries, scoring, and risk analysis embedded in each phase.

Portfolio dashboard

Blue Sky → Exploration → Development → Operational stages with live project cards and progress tracking.

AI Advisor

On-demand AI guidance contextualized to your portfolio data and program phase.

Role-based access

Owner, Delegate, Contributor, and Viewer roles with scoped permissions.

Task assignment

Every step is assignable. Multi-user assignment, status tracking, and completion.

Integrated messaging

Task-specific channels keep collaboration attached to the work. Threads, mentions, file sharing.

Live notifications

In-app badges, notification center, and configurable email digests keep teams aligned without meetings.

Your advisory team: the power of two

IMD brings academic rigor, a genuinely global perspective, and world-leading experience designing custom leadership programs for large, complex organizations. Shadoka brings decades of hands-on enterprise transformation experience, along with proprietary frameworks and technical implementation expertise. Together, IMD and Shadoka translate research-backed insights directly into practice.

Most business learning solutions deliver insight but leave the translation into action entirely to you. Most consulting engagements create dependency, performing transformation work on your behalf without building any lasting internal capability.

We combine the strengths of both approaches without their limitations. We provide the diagnostic clarity, frameworks, processes, and methods that allow your leadership team to take genuine ownership of AI transformation and build a compounding advantage over time.

IMD Business School

Ranked #3 worldwide for custom executive programs (Financial Times, 2026). Headquartered in Lausanne, Switzerland. IMD trains 20,000+ executives from 120+ countries annually and has focused exclusively on executive education for over seven decades.

20,000+
executives come to IMD each year from 120+ countries and virtually every industry.
2,000+
organizations trust IMD to develop their leadership talent each year.
Ranked # 3 globally
for custom programs in FT 2026 ranking
Shadoka

Shadoka’s team has delivered enterprise-wide transformation at PepsiCo, CACI, JPMorgan Chase, GE, American Express, MasterCard, Northrop Grumman, IBM, the U.S. Department of Defense, and the Department of Homeland Security. Their frameworks for AI transformation have been published in Harvard Business Review, MIT Sloan Management Review, Fast Company, and Forbes.

30+
years guiding transformation at world-leading organizations
$500 million
annual savings delivered at PepsiCo
3x
Wall Street Journal, USA Today, LA Times bestselling books on AI, innovation, and transformation