On the surface, an AI subscription can begin as a small, sensible purchase.
Someone in marketing needs help with copy. A manager wants meeting notes. A developer tries a coding assistant.
Each tool solves an immediate problem, is often pretty cheap, and has the potential to boost efficiency.
With most businesses also undertaking AI development initiatives of some kind, getting sign off is rarely a problem either. Zylo’s 2026 SaaS Management Index reported a 108% annual increase in spending on AI applications.
But, with so many new tools popping up, recurring payments can all too easily spread across employee expenses claims, company cards and supplier invoices until the total cost of these subscriptions is lost in a haze of white noise.
It’s Data, Not Conjecture
Mounting AI subscriptions lead to an important question: can finance actually see the full cost of this AI?
New research suggests for many businesses, the answer to this question is no, they can’t.
Pax8’s Q3 2026 SMB AI Pulse Report found that nearly half of AI-engaged UK businesses could either not identify AI expenditure separately from other spending, or had discovered unapproved AI tools, workflows or agents in the previous six months.
And, among respondents that had paid for AI in the preceding year, 39% had received at least one bill or usage charge higher than expected.
While these AI tools may be delivering substantial value, not knowing what is being spent presents a clear problem for any business.
Lack of budget control never ends well.
Visibility Is The Key
The first step to better AI spend management is potentially laborious but ultimately invaluable: review the payments already leaving the business.
Bring together AI-related expense claims, card transactions and supplier invoices, checking both monthly and annual charges – this includes paid AI features added to existing software.
For each AI subscription, record the owner, users, price and renewal date.
Next, review whether the business is getting what it pays for.
- Are paid accounts still used?
- Have employees changed roles or left?
- Could an existing subscription cover the same task?
Where AI tools overlap, ask users what they would lose before cancelling one or gain by starting up another. Similar features do not always mean equivalent value.
With the current situation contained, set a defined AI budget, give new purchases a simple approval route, and design a clear introduction policy.
To keep budgets controlled, usage-based services need particular attention.
Check available spending limits and alerts, then review charges against the agreed budget. An increase may be justified and fit within budget scope, but it should trigger a conversation about what changed or it becomes yet another hidden cost.
With a complete understanding of AI spend, businesses can not only ensure they are getting their money’s worth, but also avoid black holes of spending cutting into profits.
While doing this all manually is definitely an option, the easiest way to keep all this managed effectively is through a spend management solution.
AI tool spend can be split into separate budgeting categories and all new/ongoing expenses can be seen within a centralised window. This makes it easy for finance to see spending, monitor AI initiatives and their impact on budgets, and scale up or down, depending on business position.
This was posted in Bdaily’s Members’ News section
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