Your Vendors Switched On AI. Did Anyone Check the Contract?

When executives picture AI risk, they picture models their team built. For most mid-market organizations, the reality is the opposite: the majority of your AI risk now lives inside the SaaS tools you license — embedded by vendors, governed by no one on your side.

Your CRM added an AI feature. Your HR platform added résumé screening. Your support tool added auto-responses. Each was a checkbox in a renewal, not a governance decision. Added up, they may represent more regulatory and operational exposure than anything your own team has built — and in healthcare and financial services, those features are often touching exactly the data you are obligated to protect.

“We didn’t build it” is not a defense. If you license a third party’s AI and run it in your business, you are on the hook for how it is used.

The number that matters

Shadow AI is growing roughly 120% year over year as employees adopt tools through personal accounts and vendors ship AI features into products you already run — bypassing your review entirely.

Build a third-party AI map this week

Two columns are enough to start:

• Where does our AI actually come from? List every vendor tool with an AI feature touching your data, employees, or customers — including features switched on by default in the last renewal.
• What does our contract say about it? For each, check three things: does the vendor train on your data, who is liable when its AI is wrong, and can you turn the feature off if you need to?

Most teams discover they are running a dozen AI systems they never formally evaluated. You cannot govern a supply chain you have not mapped.

How LANStatus helps

Vendor management is already part of what a managed IT provider does. We extend it to AI: inventorying the AI features riding inside your existing tools, reading the data and liability terms that matter, and giving you a clear answer on what can be turned off, locked down, or needs a closer look — before a renewal quietly expands your exposure again.

If a regulator asked you to list every AI system operating in your business, how many would be ones you bought rather than built — and could you produce the list at all?