Where the C-suite decides how much to spend on AI, on what, and in which order
A 4-hour decision workshop where CEOs and C-level executives design their own AI investment criteria, governance, and transformation roadmap. Not a tool lab — it concentrates on workflow redesign and executive-led governance, the two levers that decide whether AI creates value.
What is the executive AI strategy workshop?
The executive AI strategy workshop puts CEOs and C-level leaders directly into the decisions that matter: AI investment criteria, organizational governance, and the AI transformation roadmap. McKinsey's 2025 survey found that around 80% of companies using AI see no meaningful impact at the EBIT line, and what separated the top 6% of high performers was not access to models but workflow redesign, at 3.6 times, and CEO-led governance. This workshop concentrates on exactly those two levers, replacing tool practice with a tailored roadmap answering what to invest in, how much, in what order, and how to control it.
A management lens
Not how to use the tools, but how to decide on investment, priority, risk, and governance.
Grounded in cases
We analyze what high-performing companies and your competitors actually did, and what follows for you.
Output in the room
Your transformation roadmap gets drafted during the workshop and reviewed by peers.
Companies actually getting business results from AI
How much more likely high performers are to drive transformational change
Companies where the CEO personally oversees AI governance
Evidence and cases
Why this training matters now
The 6% who capture value redesigned the work, not the tools
McKinsey's State of AI 2025 survey found that more than 80% of companies using AI see no meaningful impact on enterprise EBIT. The roughly 6% of high performers who do get results changed how work happens rather than which tool people open. They were 3.6 times more likely to be driving transformational change, 55% fundamentally redesigned workflows as they adopted AI, and 65% defined human-in-the-loop review steps, against 23% of everyone else.
Source: McKinsey, The state of AI 2025 (How organizations are rewiring to capture value)
Results follow when the CEO owns AI governance
In the same survey, CEO oversight of AI governance was among the factors most strongly correlated with bottom-line impact. Yet only 28% of companies have the CEO overseeing governance directly, and just 17% have the board doing it. 51% had already experienced an AI incident. High performers managed that risk with human-in-the-loop rules, centralized oversight, and named executive accountability.
Source: McKinsey, The state of AI 2025
Curriculum
4 hours — what's covered
Where AI value creation splits
1H2026 AI trends | Adoption by industry | What the top 6% of companies have in common — workflow redesign and executive governance
The investment decision frame
1HHow to calculate AI ROI | A priority matrix built on impact and difficulty | Security, regulatory, and data risk assessment
Designing AI governance
1HThe CEO-led governance model | Human-in-the-loop review | Defining AI usage rules, approval steps, and accountability
Your transformation roadmap
1HAssess your current state | Select the first initiatives | Draft the transformation roadmap and review it together
Key concepts in the curriculum
A quick look at what this course covers.
Investment decision frame
Ranking bets by impact against difficulty
AI governance
CEO-led oversight with a human in the loop
AI transformation roadmap
The path from first pilot to full rollout
Learning objectives
- Learn a framework for judging AI investment ROI and a prioritization matrix
- Design CEO-led AI governance and human-in-the-loop review
- Draw lessons from AI adoption at peers and competitors
- Draft an AI transformation roadmap for your own industry and scale, on the spot
What you take away
- A draft AI transformation roadmap for your company
- An AI initiative priority matrix (impact by difficulty)
- A written AI investment ROI framework
- A checklist for CEO-led AI governance
Expected outcomes
- Clear criteria for AI investment decisions
- One agreed direction for AI transformation across the organization
- A response plan for AI adoption risk before it materializes
- Executive-level momentum behind AI transformation
How teams put this to use
Setting investment priority
Order competing AI initiatives by impact and difficulty
Adoption risk review
Screen AI initiatives for security, regulatory, and data risk before committing
Competitor benchmarking
Read AI adoption across your industry and set your own direction against it
Governance design
Define AI usage rules, approval steps, and human-in-the-loop review at the organizational level
AI strategy workshop for executives — FAQ
No. This workshop is about management decisions, not technical practice. Complex terminology is explained in business terms, so executives with no AI background can follow everything they need for investment and strategy calls.
Hands-on training builds tool skills. This workshop deals with what to invest in and how to control it — ROI judgment, prioritization, and CEO-led governance design, decisions only the executive team can make.
Yes. In the second half you draft a transformation roadmap that reflects your industry, size, and current state. Share company background in advance and we tailor the cases and the assessment further.
In McKinsey's 2025 survey, CEO oversight of AI governance was the factor most strongly correlated with bottom-line impact — yet only 28% of companies have a CEO who oversees it directly. The workshop covers how executives create that performance gap through direct involvement rather than delegation.
Yes. The standard format is 4 hours, and we compress or extend it around executive calendars. It also runs as a closed session for a small leadership group.
AI strategy workshop for executives — get started
Tell us your goals and headcount, and we'll design the program around them.