Every CEO has heard some version of "you need an AI strategy" by now. Most of that advice is generic and doesn't tell you anything about your specific business. Here's a more useful way to think about it.
Start with time, not technology
The fastest way to find where AI helps is to ignore the technology question entirely at first and ask: where does my team spend the most repetitive, judgment-light time? Reporting, status updates, first-draft writing, scheduling, data entry, answering the same customer questions — these are the places AI tends to pay off fastest, because the task is well-defined and repeated often.
Avoid the "AI pilot" trap
A common and expensive mistake is picking a flashy but low-impact pilot — a chatbot demo, an internal tool nobody asked for — because it's easy to show off, not because it moves the business. If a pilot doesn't map to a task your team already does every week, it's very unlikely to survive contact with production.
Three questions to ask before you spend a dollar on AI
- Is this task repeated often enough to matter? One-off tasks rarely justify the setup cost.
- Do we already have the data this needs? If the answer requires months of data cleanup first, the ROI timeline changes completely.
- Who owns this if it works? AI initiatives without a clear internal owner tend to stall after the initial excitement.
Where a one-day consultation helps
Most executives don't lack ideas about AI — they lack the time to sort through which ideas are actually worth pursuing for their specific business. That's the entire point of a focused, one-day, on-site AI consultation: someone spends a day inside your actual workflows, not a generic industry report, and leaves you with a short, prioritized list instead of a 40-slide deck.