The price of AI per use keeps falling, yet many businesses find the monthly bill keeps rising. The reason is simple: usage is growing faster than prices are falling.
Why the bill grows
A person typing a question into a chat window uses very little. Automated work is different. When AI carries out a job in many steps, checks its own work and tries again, it can use many times what a single question does.
Charges based on usage are also hard to predict. A job that cost a few cents in a trial can cost far more once it runs all day.
Measuring the return is harder
Many businesses started using AI without writing down what it was meant to achieve. If there was no target, there is nothing to measure the spending against. The bill is visible every month. The benefit is spread across people's days and never added up.
Signs the spend has got away from you
- The bill rises and nobody can say exactly why.
- You pay for several tools that do much the same thing.
- You cannot name what the business got back for the money.
- People are told to cut back, including in the places where AI was helping.
Getting it under control
- Break the spend down. Split it by tool, by team and by job, so you can see what drives it.
- Put a return beside each cost. For each use, set what it costs against the time or money it saves.
- Match the AI to the job. Routine jobs rarely need the most capable and most expensive option.
- Remove overlap. Keep one tool for each purpose.
- Set limits and report monthly. Budgets and alerts stop the next surprise.
Blanket cuts are the wrong response. They remove the valuable uses along with the wasteful ones.
How we help
We measure what each job costs and what it saves, then cut the spend that is not paying its way. Read more about getting AI spend under control.