AI Strategy for C-Level Executives

• Build a practical executive framework for making informed AI decisions—not just understanding the theory, but applying proven tools immediately.
• Understand the key differences between AI and automation, and know when to use each approach.
• Develop a realistic, financially justified, and implementable AI strategy for your organization.

• Chief Executive Officers (CEOs).
• Chief Financial Officers (CFOs).
• Chief Operating Officers (COOs).
• Chief Technology Officers (CTOs/CIOs).
• Business owners and board members responsible for AI investment decisions.
• Executives leading business transformation, innovation, or digital development initiatives.

• Navigate the AI landscape and distinguish marketing hype from genuine business opportunities.
• Evaluate business processes and identify where AI can create the greatest value.
• Establish AI governance that protects the organization without slowing innovation.
• Calculate and defend AI return on investment (ROI) before boards and investors.
• Lead organizational change so employees become advocates rather than resist AI adoption.
• Develop a practical AI strategy tailored to their organization.

Participants should have responsibilities related to organizational budgeting, strategy, or operations.

No technical background or programming experience is required. Prior experience with AI tools is also not necessary.

Training materials and practical examples prepared by BDA.

Not intended.

At the end of the program, each participant presents their one-page AI Strategy to the group.

Module 1: Understanding the AI Landscape and Taking the First Step

• Hype vs. signal: How to identify real AI opportunities without panic or FOMO (Fear of Missing Out).
• The three major AI categories that determine what today’s technologies can—and cannot—deliver.
• Competitive advantage: How AI is reshaping competition across every industry.
• AI Readiness Assessment: Evaluating your organization’s readiness across five critical dimensions.

Practical Exercise:
Conduct an AI Readiness Assessment for your organization and present the findings to the group.

Module 2: Processes, Priorities, and First Implementations

• A framework for process decomposition: AI vs. automation vs. human judgment.
• Process mapping: Inputs, decisions, outputs, and exceptions.
• The 2×2 prioritization matrix: Business impact vs. implementation complexity—how to identify the best initial AI use cases.
• Common mistakes in selecting AI initiatives and how to avoid them.

Practical Exercise:
Map two internal business processes, prioritize AI opportunities, and discuss the results with the group.

Module 3: Governance, Risk, and Value Creation

• Building AI governance that protects the business without restricting innovation.
• The most important AI implementation risks every executive should understand.
• The EU AI Act and GDPR explained in plain language: executive responsibilities and compliance.
• From pilot to production: Why most AI pilots never reach full deployment.
• Building a credible AI ROI model for boards and investors.

Practical Exercise:
Develop an AI governance framework for your organization and create a roadmap from pilot projects to enterprise-wide implementation.

Module 4: Change Management and Your AI Strategy

• People, not technology: What truly determines successful AI adoption.
• Three employee archetypes every organization encounters during AI transformation.
• The first 90 days: What leaders should do themselves and what should be delegated.
• Five indicators of AI maturity: What organizations with successful AI adoption look like.

Practical Exercise:
Develop a 90-day AI transformation plan, create a one-page AI Strategy, and present it to the group.