New AI tools launch every week, and most companies already pay for more than they use. The answer isn’t more tools. It’s the right few, chosen for the work your people actually do.
Start with the work, not the tool
Most tool decisions start with a demo. A better starting point is a list of the tasks that eat your team’s time: reports, client emails, research, meeting notes. Then ask which tool helps with those tasks, safely.
Six questions to ask before you approve any AI tool
- What job will it do? Name the specific tasks. “It’s powerful” is not a job.
- Where does our data go? Find out whether what you type is stored, who can see it and whether it’s used to train the tool. If you can’t get a clear answer, that’s your answer.
- Does it fit what we already use? AI built into your existing software is often easier to adopt than a separate app.
- Who actually needs it? Not every tool needs to go to every person. Match tools to roles.
- Can we control it? Check that you can manage who has access, see how it’s used and switch it off if you need to.
- What will it really cost? Add up the licenses, the setup, the training time and the time to write the SOPs. The license fee is only part of it.
Green flags and red flags
- Green: clear data terms, admin controls, works inside tools you already use, solves a named task.
- Red: vague answers about data, everyone signs up separately, nobody can say what task it’s for, “we’ll figure out the use later”.
Test it before you roll it out
Run a 30-day pilot with a small group on two or three real tasks. Compare the time and quality against the old way, and ask the pilot group what got in the way. Only then decide whether to roll it out.
What about AI agents?
Tools that complete tasks on their own are becoming common. Start them on low-risk, repetitive tasks, keep a person approving the results, and expand only when you trust the output.
Keep the list short
Publish a short list of approved tools, explain how to request a new one, and review the list every quarter. A small list people understand beats a long list nobody follows.
The best AI tool is the one your people use well, on real work, with data you know is safe.
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