EU AI Act for CEOs and Business Leaders

Equips leaders with a structured way to classify their AI use cases under the EU AI Act and translate that into strategic portfolio and prioritization decisions across the organization.

• Mapping Your AI Landscape

  Guides participants through identifying and inventorying AI systems in their organization, including shadow AI and vendor-provided solutions.

  Includes Lab
  Key Objectives:

  • Create a high-level inventory of AI systems across functions and business units.
  • Distinguish between internally developed, vendor-provided, and embedded AI capabilities.
  • Identify critical systems that may be high-risk or strategically important.

• Classifying Use Cases by Risk Level

  Provides a practical framework for classifying AI use cases into EU AI Act risk categories and understanding the resulting obligations.

  Includes Lab
  Key Objectives:

  • Apply the EU AI Act’s risk categories to real organizational use cases.
  • Identify which use cases are likely to be high-risk or prohibited.
  • Understand at a high level the obligations associated with each risk level.

• Portfolio and Prioritization Decisions

  Translates risk classification into actionable decisions on where to invest, pause, redesign, or accelerate AI initiatives.

  Includes Lab
  Key Objectives:

  • Use risk classification results to make strategic decisions about AI projects.
  • Balance innovation goals with compliance, ethics, and brand considerations.
  • Define criteria for greenlighting, redesigning, or retiring AI use cases.

Defines how organizations should assign responsibility, design AI governance structures, and integrate EU AI Act requirements into day-to-day operations and decision-making.

• Who Owns AI Compliance in the Organization?

  Clarifies roles and responsibilities for AI risk and compliance at board, C-suite, and operational levels.

  Includes Lab
  Key Objectives:

  • Identify key stakeholders who must be involved in AI governance.
  • Define clear accountability for AI-related decisions and compliance.
  • Understand the interaction between AI governance and existing structures like data protection and risk management.

• Policies, Processes, and Documentation

  Covers the core policies, documentation practices, and process changes needed to operationalize EU AI Act compliance.

  Includes Lab
  Key Objectives:

  • List the key policies and process controls required for AI governance.
  • Understand at a high level what documentation high-risk AI systems must maintain.
  • Identify how to integrate EU AI Act requirements into existing compliance frameworks.

• Embedding Governance into Digital Transformation and Procurement

  Explains how to embed AI governance requirements into major transformation programs and procurement processes so compliance becomes part of normal operations.

  Key Objectives:

  • Integrate AI risk and compliance considerations into digital transformation initiatives.
  • Adapt procurement and vendor management processes to address EU AI Act requirements.
  • Ensure ongoing monitoring and lifecycle management of AI systems.

Focuses on turning understanding into action: building a compliance roadmap, performing gap analysis, evaluating vendors, and communicating with key stakeholders such as investors and regulators.

• Assessing Your Current State and Performing a Gap Analysis

  Teaches leaders how to evaluate their current AI landscape, governance maturity, and compliance posture against EU AI Act expectations.

  Includes Lab
  Key Objectives:

  • Evaluate the organization’s current AI governance maturity.
  • Identify key gaps in policies, processes, documentation, and skills.
  • Prioritize remediation steps that deliver the highest risk reduction.

• Building an EU AI Act Compliance Roadmap

  Guides participants to develop a phased roadmap that balances regulatory timelines, business priorities, and resource constraints.

  Includes Lab
  Key Objectives:

  • Design a realistic, phased roadmap for EU AI Act readiness.
  • Sequence initiatives to address the highest-risk areas first.
  • Align the roadmap with broader digital and data strategies.

• Vendor Evaluation, Contracts, and Foundation Models

  Equips procurement and vendor managers with the questions, criteria, and contractual levers needed to manage EU AI Act-related risks when buying or integrating AI from third parties.

  Includes Lab
  Key Objectives:

  • Evaluate AI vendors and SaaS providers for EU AI Act compliance readiness.
  • Define contract clauses and due diligence requirements for AI-related purchases.
  • Understand how to handle foundation models and generative AI services procured from third parties.

• Communicating with Investors, Customers, and Regulators

  Shows leaders how to communicate credibly about their AI risk management and EU AI Act readiness to external stakeholders.

  Key Objectives:

  • Craft clear messages about AI governance and compliance for different stakeholders.
  • Use EU AI Act readiness as part of trust-building with customers and partners.
  • Prepare for potential regulatory inquiries or audits at an executive level.