Certified AI Executive: Chief Executive Officer

What You Will Be Able to Do

• Explain what AI can and cannot do, test a team's or vendor's claims, and count the true cost of using it
• Choose where AI creates value, build a business case on measured baselines, and move pilots to scale or stop them
• Set accountability, risk controls and compliance for AI using recognized frameworks and regulation
• Lead the organization through AI: operating model, skills, workforce commitments, change and adoption
• Judge how AI changes the company's competitive position and choose where to lead, follow or partner
• Support the board's oversight of AI and keep investor and public statements about AI accurate
• Set the AI agenda, allocate capital across a portfolio, and hold the executive team accountable for results
• Build trust in the company's use of AI and lead the response when something goes wrong

Modules

1. Part 1: Executive Core

   Part 1 is the same in every executive certification.

2. 1AI Essentials for Executives

   Leaders do not need to build AI, but they do need to judge it. This module explains the main kinds of AI system, what models can and cannot do, why data sets the limits, how AI costs behave, and the vocabulary and tests a leader needs to question a team or a vendor.

   • Rule-based systems, machine learning, generative AI and AI agents
   • What models do and where they fail: errors, bias, drift and explainability
   • Data, economics and the vocabulary for questioning teams and vendors
   • Spotting hype and testing vendor claims on your own data

   Exercise. List the AI tools and features already in use in your area, including those built into software you buy. For each, note whether it is rule-based, machine learning, generative or an agent, what data it uses, and who reviews its outputs before they are acted on.

3. 2AI Strategy, Value and the Business Case

   AI is worth funding only where it changes a measure that matters. This module covers where AI creates value, how to build and rank a portfolio of use cases, when to build, buy or partner, how to write a business case that counts the full cost and tracks realized benefit, and how to move from proof of concept to scale or stop.

   • Where AI creates value and how to measure it
   • Use-case portfolios: value, feasibility and risk; build, buy or partner
   • The business case: baselines, total cost of ownership, payback and ROI
   • Proof of concept, pilot and scale; why pilots stall; stage gates

   Exercise. Take one AI proposal now under discussion in your organization. Write down its baseline measure, list every cost it will carry over three years (including data work, integration, change, monitoring and review effort), name the owner of each benefit, and set the criteria for the next stage gate.

4. 3AI Governance, Risk and Regulation for Leaders

   AI needs clear owners, a view of what is in use and controls that match the risk. This module covers accountability structures, risk tiering, the main frameworks and standards, how AI and privacy law apply in the US, Canada and the EU/UK, and the confidentiality, security, vendor and incident risks that leaders must manage.

   • Accountability, the AI governance committee, RACI and the three lines
   • AI inventory, risk tiering and risk appetite
   • NIST AI RMF, ISO/IEC 42001, and AI and privacy law across jurisdictions
   • Confidentiality, AI security, vendor risk and incident response

   Exercise. List the AI systems and tools used in your area, including AI features inside software you already buy. For each one, name the business owner, assign a risk tier using the questions in this module, and note one control that is missing.

5. 4Leading People and the Organization Through AI

   AI value depends on how people and work are organized around it. This module covers operating models and leadership roles, AI literacy, workforce impact and honest commitments, change management, shadow AI and acceptable use, and how to measure real adoption and lead by example.

   • Operating models and AI leadership roles
   • AI literacy and workforce impact: tasks, redesign and reskilling
   • Leading change: Kotter's eight steps, involvement and resistance
   • Shadow AI, acceptable use, real adoption and communication

   Exercise. Pick one team that has access to an AI tool. Find out how many people used it in the last week, which tasks they used it for and what stops the others, then agree two changes with the team and measure use again a month later.

6. Part 2: Chief Executive

   Written for chief executives.

7. 5AI and Competitive Position

   AI changes what it costs to serve customers, how fast work gets done and who can enter a market. This module looks at those shifts from the CEO's seat: which advantages last and which copy quickly, how to plan for disruption and when to move, and how to gain capability through partners or acquisitions without weakening the core business.

   • How AI changes an industry's economics
   • Lasting advantage versus advantages that copy quickly
   • Scenario planning, timing choices and platform dependence
   • Acquiring AI capability and protecting the core business

   Exercise. With your leadership team, list your company's four main sources of advantage and rate each for how easily a competitor using the same AI models could copy it within two years. For the two most exposed, write one sentence on what would make them harder to copy.

8. 6The Board, Investors and Disclosure

   The board oversees the company's use of AI, and the CEO makes that oversight possible. This module covers what to report to the board and how often, building directors' AI literacy and agreeing on risk appetite, and speaking to investors and markets about AI with evidence, including disclosure of AI risks and the regulatory danger of AI washing.

   • The board's oversight duty and how the CEO supports it
   • Board reporting, AI literacy and AI risk appetite
   • Investor communication and the danger of AI washing
   • Disclosing AI risks and handling analyst and activist questions

   Exercise. Draft a one-page AI report for your next board meeting covering inventory, value against plan, top risks and incidents, and compliance status. Then list every public statement your company made about AI in the last year and note the evidence behind each one.

9. 7Setting the AI Agenda and Allocating Capital

   The CEO decides what AI is for, how much the company puts behind it and where. This module covers writing an AI ambition tied to strategy, balancing investment across horizons, choosing funding models, building foundations first, assigning ownership across the executive team, and reviewing the portfolio so that weak investments are stopped.

   • An AI ambition tied to company strategy
   • The portfolio across horizons and funding models
   • Foundations first and executive ownership of outcomes
   • Enterprise measures and portfolio reviews

   Exercise. List every AI investment above a threshold you choose and tag each one as improving the core, extending into adjacent areas or transforming the model. Calculate each horizon's share of spend, compare it with the balance your strategy needs, and name one investment to stop or redirect.

10. 8Trust, Culture and Reputation

    Trust in a company's use of AI is built by what its leaders do, what its products tell customers and how it behaves when something goes wrong. This module covers the CEO as role model, principles that change decisions, transparency with customers, honest workforce commitments, AI incidents and crises, vendors' AI, and a lasting culture of experimentation with guardrails.

    • The CEO as role model and personal learner
    • Responsible AI principles and customer transparency
    • Workforce commitments made honestly and kept
    • AI incidents, vendor risk and a culture of safe experimentation

    Exercise. Pick one customer-facing AI system and walk through your incident playbook for it as a one-hour exercise with the executive team: who can switch it off, who decides what to tell customers and the regulator, and what the first statement would say. Note every gap and give each one an owner.