You have too many AI tools for small business when two of them do the same job, or when nobody can say what one of them saved last month. The count itself matters less than that. Five tools tied to five weekly jobs is fine. Three tools where two write emails and the third hasn't been opened since spring is too many. Keep the ones tied to a task you do every week, and cancel the rest.
TL;DR
Run two tests on every AI subscription. First: is another tool you pay for doing the same job? Second: can the person who uses it name a task it helped with last week? A tool that fails either test is a candidate to cut.
A few other signs show up before the bill does:
Because every tool is cheap on its own, trials are easy, and each person picks their own. It happens at bigger companies too. Zylo, which sells software-spend management, reports that "the average organization only uses 54% of its SaaS licenses" (Zylo). Vertice, looking across more than $75 billion in spend it manages, found that 62% of SaaS licenses were unused or underused as of the third quarter of 2026 (Vertice).
Those numbers come from companies that pay for tools to manage their software. A small business has the opposite problem: nobody whose job is to watch the subscriptions at all.
Possibly, because AI has been folded into software you likely already pay for. Check these before adding a standalone tool:
Built-in tools aren't always as good as the standalone ones. They don't have to be. If the built-in version does the job well enough, the standalone one is the cut.
Keep a tool when it's tied to a task someone does every week, one person owns it, and you can name what it saved: hours on the weekly report, quotes out the same day, fewer missed follow-ups. Rick Kranz, co-founder of AI Marketing Labs, asked the right question about a website feature he used to sell: "Did it ever convert anybody into a customer?" Ask the same of every tool on your list, in your own terms. Did it ever save anybody an hour?
When the tools you're keeping start handing work to each other through a person, that's a different signal. Here's when to move from separate tools to one connected system. And for the math on a single tool, price the task it replaces.
Three layers cover it, and the third is optional.
If a tool on your list doesn't fit one of those three layers, it needs a reason to stay.
Then cutting won't fix it. Check whether the tools were bought before anyone decided which job they were for, a pattern covered in why AI projects fail. Start from one job instead: the places AI tends to pay off for a small business are a good list to pick from.
If you'd rather work it through with someone, "We're paying for AI tools but aren't getting much out of them" is one of the situations AI Marketing Labs handles in AI Consulting Services: one-on-one work with Rick Kranz, with scope and fee agreed before any work starts. The outcome can be a cleaner set of tools and a plan for using them, not necessarily a new build.
Not always. One general assistant plus the AI built into software you already use covers a lot. Add a specialist tool when it does one job clearly better, and only if someone will use it every week.
How often should you review your AI subscriptions?Monthly for the first year, because trials convert and new tools get added fast. Twenty minutes with the card statement is enough. Once the list is stable, quarterly works.
What should you do before cancelling an AI tool?Export anything you'll want later: saved prompts, instructions, files and transcripts. Check whether the vendor deletes your data after cancellation, and tell anyone who used it which tool replaces it.