It sounds like a responsible starting point. It feels like you're taking the technology seriously by exploring your options. But in my experience, this question produces a specific kind of response: searching for tools, a pilot or two, or a list of pain points to automate.

The issue is that this framing pulls you toward your current state. You begin thinking about the friction and obstacles that exist today, and look for places to apply AI on top of them. That's useful work. It's just not the whole picture.

This reframing moves away from exploring what's broken. It's a subtle shift in language, but it creates space for imagination. Here's an example of what I mean:

You can apply this sequence too. Be specific about what you need to be different. Look at what's actually producing that outcome, then ask where (or if) AI fits.

For a CEO, that might mean reconsidering how value gets delivered to customers, looking at the business model itself. For a functional leader, it might look like asking what their department could be if it were designed from scratch with modern tools and capabilities. The question scales to wherever you sit.

Organizations don't have the luxury of long strategy cycles. You know that better than anyone. The goal isn't to pause everything or stop taking action. It's to capture near-term value, while also keeping an eye on what a more fundamental change could look like.

One more thing: AI is one lever, not the whole answer. Making meaningful change in any part of a business tends to require action across people, process, data, and technology together. AI can accelerate what's possible, but the reinvention is broader than the tool.