Course : Managing AI at the Executive Committee Level

Understand, evaluate, and manage AI initiatives to guide the company’s strategic decisions.

Practical course - 2d - 14h00 - Ref. DDG
Price : 1470 € E.T.

Managing AI at the Executive Committee Level

Understand, evaluate, and manage AI initiatives to guide the company’s strategic decisions.


New course

Artificial intelligence is now a matter of governance and competitiveness that directly concerns senior leadership. Amid promises of value creation, regulatory risks, sovereignty issues, business transformation, and accelerated innovation, leaders must be able to make informed decisions without necessarily becoming technical experts. This training program enables executive committee members and decision-makers to acquire the essential insights needed to understand the realities of AI, evaluate investment opportunities, establish appropriate governance frameworks, and develop a roadmap for creating value.


INTER
IN-HOUSE
CUSTOM

Practical course in person or remote class
Disponible en anglais, à la demande

Ref. DDG
  2d - 14h00
1470 € E.T.




Artificial intelligence is now a matter of governance and competitiveness that directly concerns senior leadership. Amid promises of value creation, regulatory risks, sovereignty issues, business transformation, and accelerated innovation, leaders must be able to make informed decisions without necessarily becoming technical experts. This training program enables executive committee members and decision-makers to acquire the essential insights needed to understand the realities of AI, evaluate investment opportunities, establish appropriate governance frameworks, and develop a roadmap for creating value.


Teaching objectives
At the end of the training, the participant will be able to:
Analyze the opportunities, limitations, and strategic impacts of various forms of artificial intelligence for your organization
Assess the trade-offs between value creation, risk management, regulatory compliance, sovereignty, and AI-related investments
Prioritize a portfolio of AI initiatives based on criteria such as value, feasibility, organizational maturity, and risk level
Develop an AI roadmap aligned with the company's strategy and transformation goals
Establish an AI governance framework to manage, oversee, and secure the use of artificial intelligence

Intended audience
Members of COMEX, CODIR, senior management, board members, chief strategy officers, chief transformation officers, business unit heads, chief innovation officers, and heads of governance, risk, and compliance.

Prerequisites
None

Practical details
Interactive presentations illustrated with real-world examples of generative AI, agent-based AI, and AI-driven transformation. Industry-specific case studies tailored to the challenges faced by executives. Collaborative workshops, executive committee simulations, role-playing exercises, and small-group activities. AI maturity assessment tools, strategic decision-making matrices, and governance models.

Course schedule

1
Understanding AI to Make Better Decisions: Realities, Potential, and Limitations

  • Identify the main categories of artificial intelligence: predictive AI, generative AI, agent-based AI, and hybrid systems
  • Understanding how AI agents work, their level of autonomy, their uses, and their limitations
  • Identify the actual capabilities of AI and the use cases that create value for businesses
  • Analyze the current limitations of AI: hallucinations, bias, lack of traceability, dependence on data, over-automation, and limitations in reasoning
  • Assessing the Impacts of AI on Business Models, Competitiveness, and Decision-Making
Hands-on work
Conducting an AI maturity assessment of the organization. An acculturation quiz to identify participants’ initial perceptions. Group analysis of several real-world use cases involving generative AI and agent-based AI. Small-group workshop aimed at distinguishing between genuine opportunities, risks, and passing trends. Development of a shared strategic analysis framework to serve as a guiding thread throughout the training program.

2
Identify opportunities for value creation and strategic risks

  • Mapping the opportunities offered by AI across various business functions
  • Identify performance drivers related to automation, decision support, innovation, and customer experience
  • Analyze the risks associated with Shadow AI, data breaches, privacy, and intellectual property
  • Assess strategic dependencies related to models, cloud providers, software vendors, integrators, data, and infrastructure
  • Measuring the Impacts of AI on Resilience, Digital Sovereignty, and Control Over Strategic Assets
Hands-on work
Workshop on mapping opportunities and risks as they apply to the participants’ context. Group work on an opportunities/risks matrix. Analysis of real-world scenarios involving Shadow AI, loss of sensitive data, or excessive reliance on a single vendor. Development of an initial strategic map to serve as the foundation for the AI roadmap.

3
Prioritize AI investments and develop a value-creating roadmap

  • Define the criteria for evaluating a portfolio of AI initiatives at the Executive Committee level
  • Assess the potential value of a use case based on economic, operational, and strategic factors
  • Measuring Return on Investment (ROI) and Return on Value (ROV) for AI Initiatives
  • Prioritize projects based on four criteria: value, feasibility, risk level, and organizational maturity
  • Develop a phased roadmap for AI integration aligned with the company’s strategic priorities
Hands-on work
Case study of an AI initiative portfolio. Team-based development of a value/feasibility/risk/maturity matrix. Assessment of the ROI and return on value for various projects: improved decision-making, risk reduction, innovation, customer experience, talent attraction, and operational autonomy. Development of a prioritized AI roadmap covering three time horizons: short, medium, and long term.

4
Governing AI: Compliance, Accountability, and Strategic Management

  • Understanding the Requirements of the AI Act and Their Implications for Executives
  • Identify the responsibilities of the various stakeholders in AI governance
  • Define the roles of sponsor, arbitrator, validator, auditor, and ultimate decision-maker
  • Establish mechanisms for human oversight, traceability, and auditability
  • Developing a governance framework that balances innovation, compliance, risk management, and trust
Hands-on work
Case study on various governance scenarios involving compliance, ethics, and executive accountability. Collaborative work to design an AI governance model tailored to the participants’ organization. Definition of governing bodies, arbitration processes, and oversight mechanisms. Development of an AI governance charter that incorporates the requirements of the AI Act.

5
Exercising Thoughtful Leadership in the Face of AI-Driven Transformations

  • Anticipating the Impact of AI on Jobs, Skills, and Work Styles
  • Identify the factors contributing to resistance, fear of replacement, and cognitive fatigue associated with the adoption of AI
  • Defining the Role of Middle Managers in Acculturation and Change Management
  • Develop a strategic narrative that enables clear and credible communication about AI
  • Presenting an AI strategy to a board of directors or a governing body
Hands-on work
Individual development of an AI strategic recommendation based on the work completed over the two days. Simulation of a mock executive committee or board of directors meeting. Oral presentation of an AI strategy incorporating opportunities, risks, governance, investments, and a roadmap. Q&A session, decision-making scenario, and group feedback based on a structured evaluation grid.



This programme is an original creation, developed by the teaching teams at ORSYS Formation. Any reproduction, representation, adaptation or use, in whole or in part, without the prior written authorisation of ORSYS, is strictly prohibited. ORSYS reserves the right to take any action necessary to protect its intellectual property rights.

Dates and locations
Select your location or opt for the remote class then choose your date.
Remote class

Dernières places
Date garantie en présentiel ou à distance
Session garantie

REMOTE CLASS
2027 : 18 Mar., 1 July, 7 Oct., 16 Dec.

PARIS LA DÉFENSE
2027 : 11 Mar., 24 June, 30 Sep., 9 Dec.



This programme is an original creation, developed by the teaching teams at ORSYS Formation. Any reproduction, representation, adaptation or use, in whole or in part, without the prior written authorisation of ORSYS, is strictly prohibited. ORSYS reserves the right to take any action necessary to protect its intellectual property rights.