It’s easy to sign up for an AI tool.
A few clicks, a monthly subscription, and suddenly your team has another way to write, analyze or automate something.
A few months later, you should ask: Has it made the business better?
And that’s not always easy to answer.
Saving a few minutes here and there feels productive, but sometimes it’s not obvious whether those small improvements are adding up to anything meaningful.
If the team is still working the same hours, customers aren’t being served any faster, and projects aren’t moving more quickly, where has that saved time gone?
It’s a question I think more businesses should be asking.
I’ve noticed that AI conversations have started to change over the past year.
At first, the focus was on what the technology could do. Now it’s becoming much more practical.
Business owners want to know whether it’s earning its place alongside all the other software they’re paying for.
Every investment in technology should have a purpose.
Perhaps it’s reducing admin, shortening response times, helping people produce better work, or allowing the business to grow without adding more staff.
Whatever the reason, there should be something you can point to and say, “That’s better than it was before.”
Without that, AI simply becomes another monthly cost.
It can be difficult to spot because the spending is often spread across the business.
One team subscribes to an AI writing tool. Another starts paying for meeting summaries. Someone else upgrades to a premium chatbot because it has a feature they like.
Together, they can add up quickly.
The cost isn’t always the subscription either.
- Every new tool needs setting up
- People need to learn how to use it
- Someone must decide whether it meets your security standards
Before long, you’re spending time managing the technology as well as using it.
Look beyond the software.
Instead of asking whether people like using an AI tool, ask what has changed since it arrived.
- Are customer enquiries being answered more quickly?
- Is the team spending less time on repetitive work?
- Are projects moving through the business faster than they were six months ago?
Those are the sorts of improvements that justify the investment.
If the answers are difficult, that doesn’t necessarily mean AI has been a mistake.
It may be that the business hasn’t decided what success looks like yet.
When that happens, it’s time to take a different approach.
Begin with a problem you’d like to solve, then choose technology that fits that need.
After a few months, you can look back and decide whether it’s delivered what you hoped.
If you’d like help reviewing the AI tools your business is paying for and whether they’re delivering real value, we’d be happy to help. Get in touch.