The CEO's Guide to AI: Questions to Ask Before You Invest

You're sitting in a board meeting. Someone mentions AI. Everyone nods knowingly. The question isn't whether to invest in AI. It's how much and where.

Most executives can't articulate exactly what problem AI is supposed to solve. They know it's important. They're worried about falling behind. So they approve budget without asking the right questions. Then a pilot wraps up months later with "promising" results that nobody can convert into value.

Here are 7 questions every CEO should ask before approving any AI investment.

1. What Specific Problem Are We Solving?

Good answer: "Reduce motor claims intake time from 18 minutes to 10 minutes per claim." Bad answer: "Our competitors are using it." Push back until you get specificity.

2. Is This Task Repetitive, Rules-Based, and Resource-Intensive?

These are the 3Rs. They describe work AI actually helps with. If the task scores high on all three, you've got a genuine opportunity.

3. What Does Success Look Like in 90 Days?

Not "we'll evaluate the results." Specific outcomes: "We'll have processed 500 claims with 95% accuracy on initial categorization, freeing 8 hours a week per handler."

4. Who Owns This Internally?

Not the vendor. Someone operational with skin in the game — whose job gets easier when this works.

5. Have We Actually Mapped the Current Process?

If the answer is "the operations team handles it," that's a guess, not a map. Most failed AI projects fail because nobody did this step.

6. What Happens When This Goes Wrong?

It will go wrong. Do you have escalation paths? Is someone checking the work? How quickly can you pull the plug? The best AI systems have humans built in, not as an afterthought.

7. Are We Buying a Tool or Building a Capability?

Buying a tool means you license software and hope it works. Building a capability means investing in process knowledge, team training, and integration. The good investments focus on building capability, not just buying tools.

Before You Say Yes

If you can't get clear answers to all seven questions, you're not ready to invest. Don't approve AI budgets based on FOMO or competitive pressure. Ask the questions. Get specific answers. Then invest with confidence.