It’s tempting to start with a grand plan: “AI will run our whole back office.” Plans like that sound great in a meeting and then stall for months. There are too many systems, too many people, and too many unknowns all at once.
A better approach is almost boring: pick one task, make it work well, and then pick the next.
What makes a good first task
- It happens often, so you’ll notice the difference quickly.
- It has clear steps, so you can tell when it’s done right.
- Mistakes are easy to catch and cheap to fix.
- Someone on your team is excited to stop doing it.
Answering common customer questions, sorting incoming requests, and preparing first drafts of routine documents are often good places to start. Approving payments or making medical decisions are not.
Pick the job your team complains about most, not the one that looks best in a slide deck.
Decide what “done well” means
Before building anything, agree on how you’ll judge it. Maybe it’s time saved each week. Maybe it’s fewer follow-ups slipping through the cracks. Write it down. It keeps everyone honest, including your AI partner.
Run it side by side
For the first few weeks, let the AI prepare while your team still checks everything. You’ll learn where it’s strong, where it needs better instructions, and where a person should always step in.
Then grow, carefully
Once the first task runs smoothly, the next one is easier. Your team trusts the process, your information is cleaner, and you know what good looks like.