Who is this training for?
Executives, board members, vice-presidents, directors, leaders responsible for innovation, strategy, organizational transformation, digital initiatives, or artificial intelligence, project portfolio managers, and anyone involved in innovation-related decision-making within their organization.
Training objectives
- Understand the strategic role of innovation governance in a context shaped by the rapid advancement of artificial intelligence.
- Align innovation initiatives with your organization’s strategic priorities and business objectives.
- Implement governance mechanisms to better prioritize investments, accelerate decision-making, and support experimentation.
- Structure a balanced innovation portfolio and define indicators to measure the value created by initiatives.
- Develop a roadmap tailored to your organization’s maturity level to advance its innovation governance.
- Make more informed decisions that are better aligned with your business strategy.
- Foster collaboration through clear, agile, and engaging governance.
- Turn ideas and experiments into value-creating projects.
- Strengthen your organization’s ability to integrate artificial intelligence initiatives in a coherent and sustainable manner.
- Optimize organizational performance by making innovation a true engine of growth.
Summary
Artificial intelligence is profoundly transforming organizations. It is accelerating opportunities for innovation, redefining business models, and creating new ways to generate value. More than ever, organizations must make swift, informed decisions about which initiatives to prioritize, which investments to make, and which resources to mobilize.
In this context, innovation governance becomes a strategic lever. It enables organizations to align innovation initiatives—whether organizational, technological, or powered by artificial intelligence—with their priorities, while ensuring optimal use of resources and sustainable value creation.
This program offers a practical, pragmatic, and results-oriented approach to help executives and managers advance their innovation governance. Without addressing the technical or regulatory aspects of artificial intelligence governance, it presents the tools, mechanisms, and best practices needed to better guide investments, prioritize initiatives, manage an innovation portfolio, and accelerate organizational transformation.
Through real-world examples, case studies, and discussions among participants, you will develop a strategic vision of innovation governance suited to the current challenges facing organizations. You will leave with immediately applicable tools to make innovation—including initiatives that integrate artificial intelligence—a true driver of value creation.
Course outline
This course is structured into two complementary sessions designed to help you progressively develop the knowledge, tools, and habits needed to move your organization toward a truly customer-centric culture.
Session 1
Governing Innovation in the Age of Artificial Intelligence: Making the Right Decisions
Understand how artificial intelligence is transforming organizations and why it requires innovation governance to evolve. This session will clarify the roles of the various decision-making bodies, align innovation initiatives with strategic priorities, and establish mechanisms that promote agile, coherent, and value-creating decision-making.
- Understand the impact of artificial intelligence on business models, innovation strategies, and decision-making processes.
- Clarify the roles and responsibilities of the various governance bodies, from the board of directors to the teams responsible for innovation.
- Align innovation initiatives with the organization’s strategic objectives.
- Implement governance mechanisms that promote rapid decision-making, better resource allocation, and balanced risk management.
- Identify the key success factors and pitfalls to avoid in innovation governance.
Session 2
Managing Innovation to Accelerate Value Creation
Apply the principles of effective governance to improve the selection, management, and monitoring of innovation initiatives. This session will help you structure an innovation portfolio, measure the value created, and develop a roadmap tailored to your organization’s priorities and maturity level.
- Prioritize innovation initiatives based on their contribution to strategic objectives and their value-creation potential.
- Structure and manage a balanced portfolio of innovation initiatives, including projects that integrate artificial intelligence.
- Define indicators to measure initiative performance and contribution to organizational results.
- Engage stakeholders around governance that fosters collaboration, experimentation, and continuous improvement.
- Develop a concrete roadmap to sustainably advance innovation governance.
Approach and methodology
Intensive learning experiences designed for professionals who want to develop skills they can apply directly within their organizations. Combining case studies, participant discussions, practical workshops, and concrete tools, this course promotes the rapid application of learning and the development of solutions tailored to your reality.
Activities
- Interactive workshops
- Case studies
- Readings and preparatory work
- Application exercises
- Individual action plan
