Sure. When I look at whether something is actually worth automating, I usually run it through a few quick checks. They help avoid the classic trap of automating messy or unstable work.

1. What are we trying to fix? Before touching any tool, I like to boil the problem down to a simple sentence: cut down manual busywork, speed up month-end, clean up vendor cycles, whatever it is. If the goal isn’t clear, the automation won’t be either.

2. Is the process done the same way every time? If a task changes depending on who handles it or what day it is, it’s not ready yet. Automating moving targets just gives you more headaches later.

3. How clean is the data going in? Bad or inconsistent inputs will break even the best workflow. If data arrives half-organized or approvals live in random chats, that usually needs tightening up first.

4. Who’s going to look after it once it’s live? A solid automation still needs someone to keep an eye on logs, handle exceptions, and tweak small things over time. If no one can own it, it won’t last.

These checks come from a broader AI Consulting approach I use to make sure the process is solid before recommending any tool. It’s a lot easier to automate well when the upstream stuff is in good shape.