I had a conversation recently with the head of operations at a large nonprofit. It wasn’t about which AI tool is best or what platform is trending. It was about something much simpler and, honestly, much more important: why so many teams still struggle to get real value from AI.
If you’ve spent any time around AI lately, you’ve probably felt the pull. There’s always something new — a new tool, a new feature, a new must-try. It’s exciting and it should be. But there’s a pattern worth pausing on for a moment. Teams are picking up tools first and only then trying to figure out where they actually fit into the work.
It reminds me of buying a new car. You drive it off the lot and it feels great — smooth, fast, everything you hoped it would be. Then a week later, you’re on the road and suddenly it feels like everyone else has something newer — a different model, new features, a flashier dashboard. But you don’t pull over, trade in your car on the spot and start over. You enjoy what you chose, learn it, get comfortable with it and actually use it. When the time comes for something new, you make that decision with intention.
AI should work the same way. If you’re constantly jumping to the next tool, you never give any of them enough time to actually create value. The value is in knowing how to drive the one you’re in.
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The real starting point is where work slows down
Instead of starting with the tool, the most effective place to begin is with the work. Start by looking at your day, your team and your processes through a simple lens. Identify where the work is slow, repetitive or harder than it needs to be. Focus on the moments where time is lost or momentum fades. Those small points of friction are where AI delivers its greatest impact.
This shift sounds simple, but it changes everything. AI is no longer something you’re trying to fit into your workflow. It becomes something that naturally supports and improves what already exists.
When AI is applied this way, the changes are noticeable but not overwhelming. Research that used to take hours can be done in minutes. Ideas begin to flow more easily, rather than getting stuck. Content creation becomes lighter and more manageable. Work moves forward with fewer stops and starts. It’s not just about speed. It’s about flow.
Once that flow begins, something important follows. People start experimenting more — not because they’re told to, but because it finally feels easy enough to try. The barrier to getting started drops and with it, the hesitation.
Momentum builds one workflow at a time
The teams seeing the most impact from AI aren’t trying to do everything at once. They focus on one workflow at a time — something familiar or something their team already understands. They identify the moments that slow things down and introduce AI into that specific part of the process. Not to replace everything and not to reinvent the wheel, but to make that one step easier. From there, they test, learn, adjust and expand.
There’s also an important balance to maintain. AI works best when it’s paired with human judgment, not separated from it. The goal isn’t to hand everything over. It’s to create a rhythm where AI supports the work and people guide it. Think of it less like autopilot and more like power steering. You’re still driving. It just feels a whole lot smoother.
One of the biggest misconceptions about AI is that you need to fully understand it before you can use it. You don’t need a technical background or a complete transformation plan. There’s no need to get it perfect. You simply need a starting point. A workflow, a task or a moment in your day where there is an opportunity to make something easier or more efficient.
The organizations that get the most out of AI won’t be the ones using the most tools. They’ll be the ones using AI in the right places. Not chasing what’s new, but improving what already exists.
Once you see it that way, AI stops feeling like something you have to keep up with and starts feeling like something you can actually use. That’s when the real momentum begins.
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