You Do Not Need Another Presentation
Every CEO we speak with has received multiple AI strategy presentations from their team, from consultants, and from vendors. The decks are polished. They include market sizing, competitor analysis, technology overviews, and roadmaps with optimistic timelines. They all look the same, and they all leave the CEO with the same uneasy feeling: a lot of information and no clarity on what to actually do.
The problem is not the quality of the presentations. It is the questions they answer. Here are the seven questions a CEO should be asking instead.
The Seven Questions
1. "What specific process costs us the most human time per dollar of value created, and can AI change that ratio?"
This question forces specificity. Not "where can we use AI" but "where is our biggest efficiency gap, and is AI the right tool to close it?" The answer might be document review in legal, data entry in operations, or report generation in finance. It might also be that your biggest efficiency gaps are not AI-solvable at all. Both answers are valuable.
2. "If we do nothing with AI for 18 months, what happens to our competitive position?"
This separates urgency from hype. For some companies, the answer is "nothing changes materially." For others, especially in financial services, professional services, and technology, competitors are already using AI to operate faster and cheaper. This question determines whether AI is a strategic priority or an operational improvement.
3. "How clean is our data, and who is responsible for it?"
If the answer to "who is responsible" is a shrug, you are not ready for AI. Every successful AI deployment we have seen starts with a data owner who has budget, authority, and accountability for data quality. If you do not have this person, hire them before you hire anyone else.
4. "What is our total AI spend across the organization, and what has it produced?"
Most CEOs are shocked by the answer. AI spending is often distributed across departments, hidden in cloud costs, buried in vendor contracts, and disguised as "innovation" budgets. Aggregating this number, and comparing it to measurable outcomes, provides the sobriety needed for rational investment decisions.
5. "If I gave you half the AI budget but required measurable results in 90 days, what would you build?"
This question is revealing. If the team cannot answer it, they do not have a clear enough understanding of the opportunity. If they can answer it confidently, you have probably found your best use case. Constraints force prioritization, and prioritization is what most AI initiatives lack.
6. "Who in our organization has the authority to kill an AI project?"
If nobody does, every AI project will become a zombie. Successful AI programs require someone with the organizational authority and willingness to terminate initiatives that are not working. This is not a popular role, but it is essential.
7. "What is our plan when the AI system makes a mistake that affects a customer?"
If there is no plan, you are not ready to deploy AI in any customer-facing context. The plan should cover: how the mistake is detected, how the customer is informed, how the issue is remediated, and how the system is improved to prevent recurrence. If these processes do not exist, build them before building the AI.
From Questions to Action
These seven questions will not produce a strategy deck. They will produce clarity: clarity about whether AI is urgent or optional for your business, clarity about your organizational readiness, and clarity about where to start. That clarity is worth more than any presentation.