Who's Actually Using Your AI Licenses?

Unused seats and shadow usage quietly inflate your AI bill. A simple governance layer keeps spend and access under control.

The invoice that keeps climbing

A finance manager at a 40-person company recently pulled up the monthly AI tooling invoice and didn't recognize half the names on it. Some employees had two paid seats across different tools. Others hadn't logged in for six weeks but were still on the premium tier. Nobody had decided this — it just happened, one "can I get access too?" Slack message at a time.

This is the normal lifecycle of AI adoption inside a company. It starts with a champion, spreads informally, and within a few months turns into a line item nobody owns. The tool isn't the problem. The absence of a rule for who gets access, at what tier, and why, is.

Why AI licenses drift faster than other software

Most SaaS tools get provisioned through IT with a request form and a manager approval. AI tools rarely go through that path at first. They get adopted bottom-up, seat by seat, because someone found them useful and asked for a login. That's actually a good sign — it means the tool has real pull. But it also means spend grows without anyone checking whether the usage justifies the cost.

Two things make this worse for AI specifically. First, tiers matter a lot: a basic seat and a premium seat with higher usage limits or coding features can differ by a wide margin, and people default to the higher tier

Turning license sprawl into a maintained system

ArkonLabs helps companies replace ad hoc AI provisioning with a clear system: who holds a seat, at what tier, and why, reviewed on a regular basis rather than left to accumulate. If your AI invoice has grown past the point anyone can explain it, get in touch via www.arkon-labs.com.

AI cost optimisation — token & API cost monitoring

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