Pull up your AI spend for last quarter. You can probably find it in about thirty seconds — a line item, a per-seat number, a total you feel reasonably good about.
Now find the rest of it.
The subscriptions on personal cards, coming back through expense reports as software, or professional development, or nothing at all. The department that signed up for its own tool because waiting wasn’t an option. The four people paying twenty dollars a month each for four different models, all doing roughly the same thing, none of which the company actually owns.
That’s the second bill. It doesn’t arrive. It doesn’t get approved. And it is not the expensive part.
The Expensive Part Is What Doesn’t Compound
Here’s the thing that should bother a finance leader more than the duplicate subscriptions.
In PwC’s 2026 Global CEO Survey, 56% of chief executives said AI had produced no significant financial benefit for their business. Only 12% could point to both a cost improvement and a revenue improvement. These aren’t companies that failed to adopt. These are companies that adopted, spent, and still can’t find the money.
Four people using four different AI tools aren’t four times as productive. They’re four silos. Someone in operations figures out how to cut a recurring three-hour task down to forty minutes — and that knowledge stays in their head, in their tool, on their account. Someone in finance solves an almost identical problem six weeks later, from zero, in a different product. Nothing accumulates. Nothing transfers. Nothing gets better across the business because it got better for one person.
You’re paying for individual productivity and getting exactly that — individual, unrepeatable, unmeasurable, and walking out the door if that person leaves.
That’s before we get to the parts that don’t show up as spend at all. Company data sitting in tools nobody vetted. No volume leverage on pricing, because you’re buying in ones instead of in blocks. And no line of sight — none — from any of it back to a recovered hour or a recovered dollar.
We see this play out a little differently depending on the practice. In a professional services firm, shadow AI mostly just costs money quietly. In a healthcare practice or a nonprofit handling client records, it costs money and creates exposure — because standard consumer AI tools don’t sign the agreements required under HIPAA, and Massachusetts’ Written Information Security Program requirements don’t pause for the tool your billing coordinator found on her own last month. Given how much of our client base sits in healthcare, nonprofit, and professional services, this isn’t a hypothetical for the businesses we work with. It’s the actual shape of the risk.
This is what makes AI sprawl uniquely bad as a category of spend. Most uncontrolled spend is merely wasteful. This kind is wasteful and compounding against you, because the longer it runs, the more the value gets locked into places you can’t reach.
The Five Numbers You Can’t Produce
Try this. Right now, without asking anyone, answer these five:
- How many AI tools are running in your business? Not licensed. Running. Including the ones on personal accounts.
- What percentage of your staff is using AI weekly — not “has tried it once,” but actually uses it?
- What percentage of that usage is governed — a sanctioned tool, under your control, with a policy behind it?
- What percentage is charged back to a department or budget owner, instead of quietly reimbursed as “software” or “supplies”?
- What percentage is tied to a stated business outcome rather than one person’s personal preference?
If you’re like most SMBs on the South Shore, you can’t answer any of the five with confidence. Some owners can’t answer the first one within a factor of two.
Sit with that for a second. This is a category of spend and risk running inside your business right now — touching client data, absorbing budget, shaping how work actually gets done — and there’s no number attached to any of it. You wouldn’t accept that in any other line of the business. You’d have caught it in a review a long time ago.
The reason it hasn’t been caught is that nobody owns it. It didn’t come in through procurement. It came in through people trying to do their jobs.
You Can’t Fix What You Can’t See
Notice that none of this argues for spending more. It argues for seeing what’s already being spent.
That’s the good news, and it’s the reason this is worth an hour of your time rather than a project plan. Most companies that finally look at these five numbers discover two things at once: they’re spending more than they thought, and they’re capturing less of it than they thought. Which means the first move isn’t a purchase. It’s consolidation — one sanctioned path, real pricing leverage because you’re buying as an organization instead of in ones, and a policy that gives your team permission to use the thing you’ve actually paid for.
We routinely find businesses were already paying for AI capability sitting inside licenses they already hold — a Microsoft 365 plan, for instance — while separately reimbursing staff for personal subscriptions to do the same work. That’s not a technology problem. That’s a visibility problem, and visibility is cheap.
The hours are there — most SMBs are sitting on four to eight hours per knowledge worker, per week, in repetitive admin and information search. The spend is there too. Right now, neither one is on a report you’ve seen.
Come Find Your Five Numbers
We’re running a working session on exactly this: what shadow AI is costing small businesses like yours, how to find the five numbers inside your own company, and what to do with them once you have them.
Not a product demo. Not a keynote about transformation. A method for producing the numbers, and a walkthrough of what most companies find when they run it.
Webinar: The Shadow AI Audit — What’s Really Running in Your Business
45 minutes. You’ll leave with the five-number framework, the questions to ask your team, and a clear read on the cost and exposure sitting inside your company right now.
Built for finance and operations leaders at companies between 25 and 200 people — the exact size of business we’ve been serving on the South Shore since 2005.
Can’t make it live? Register anyway and we’ll send you the recording and the audit worksheet.
Questions before then? Call us at (508) 418-3245 or email [email protected]. We’re here when you need us.
