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Leading AI in business: strategy and governance for executives
Your AI investments should serve clear priorities. Identify relevant use cases, assess risks and organise governance to move from experimentation to a structured approach. Strengthen your ability to make informed trade-offs and mobilise teams around a coherent roadmap.
- Duration
- 1.5 days 11 hours
- Code
- IA027FR Code
Presentation
Artificial intelligence is redefining business processes and corporate strategy. For senior leaders and executive or management committee members, the question is no longer whether to adopt it, but how. The challenge is to lead this revolution effectively and responsibly by understanding its strategic, ethical and operational implications.
This 1.5-day course is strategic and accessible, without technical jargon. It equips you to lead AI adoption while combining performance and trust. Through practical examples and role plays, you will learn to identify opportunities and risks and align AI solutions with your company's values.
The aim is to help you lead a responsible approach. You will leave with the foundations to co-create your corporate AI charter and define a clear AI roadmap, supporting robust governance and controlled transformation.
Objectives
By the end of this course, you will be able to:
- understand AI's strategic implications for business models, ethical issues such as bias and trade-offs, and regulatory considerations including GDPR and the forthcoming AI Act;
- identify opportunities, including use cases and performance gains, and risks relating to roles, disengagement and data within your organisation;
- equip your leadership team to guide responsible transformation, define governance roles and responsibilities, and manage change;
- co-create the main elements of a corporate AI-use charter covering ethics and compliance, suited to the company's sector and values.
Program
Module 1: Understanding AI's potential, realities and limitations
- Different types of AI and an overview of business use cases.
- Identifying technological limitations, biases and the regulatory framework, including GDPR.
- Analysing societal impacts and decision-makers' responsibilities.
Module 2: Analysing organisational and human impacts
- Anticipating the transformation of roles and new business models.
- Identifying automation risks and team disengagement.
- Defining the leader's role and change management principles.
Module 3: Defining AI governance and strategic direction
- Defining key principles of responsible AI governance.
- Aligning AI strategy with company values and priorities.
- Assigning roles and responsibilities, including the AI committee and sponsors.
Role play
- Simulate a strategic dilemma, such as operational gains versus data protection, and make a decision in an executive context.
Module 4: Co-creating the AI charter and roadmap
- Establishing an ethical framework and compliance rules.
- Implementing adaptable governance and monitoring indicators.
- Identifying recommendations for formalising an AI roadmap.
Audience
This course is intended for decision-makers integrating AI into corporate strategy, including:
- senior leaders and executive or management committee members defining the vision, allocating budgets and managing AI performance;
- managers and business unit leaders supporting the transformation of roles and managing AI's human and operational impacts;
- digital transformation or innovation leaders equipping the organisation and ensuring AI projects are strategically aligned;
- any decision-maker in HR, finance or marketing seeking to integrate AI into their strategic vision and understand its potential and risks.
Prerequisites
The following prerequisites apply:
- Professional experience: this course is designed for decision-makers, including senior leaders, executive committee members and managers. Experience in strategic leadership, management or transformation is essential.
- Basic requirements:
- a strong interest in innovation, governance and strategy.
Teaching and assessment methods
- Initial skills assessment
- Training materials provided to participants
- Continuous assessment throughout the course
- End-of-course feedback questionnaire
- Combination of theory and practical application
- Attendance records
- Post-course follow-up evaluation
- Quiz / multiple-choice questions
- Practical exercises
- Case study
Course highlights
- Training for decision-makers: strategic, accessible training without technical jargon, designed for executive and management committees to lead AI adoption knowledgeably and responsibly.
- Ethical decision-making focus: work through practical dilemmas, such as operational gains versus data protection, using role plays and decision-oriented examples.
- Co-create your charter: move beyond theory to develop the foundations of your own corporate charter and AI roadmap.
- Bonus prompt list: receive additional resources, including effective prompts to improve the requests you make to AI.
Dates and sessions
Choose the date and delivery format that suit you.
No upcoming sessions are currently available.