u/med_mavol

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I did a quick audit recently and found 40+ different AI tools being expensed across our org. Some are approved, many aren’t, and IT doesn’t have clear visibility into a lot of them. I’m not trying to shut usage down, but right now I can’t tell which tools are actually being used in real workflows, where there’s overlap, or whether any of this raises data or compliance risks. For those dealing with this, how are you approaching it? Is this more of a policy issue, a tooling gap, or both?