Why enterprise AI feels more reliable than it is | EY - Netherlands

Your AI tool feels like it's working. Until it isn't — and by then, you've already trusted it too much. That "$200/month nobody uses" story isn't about your team. It's about a tool that was sold as c

Your AI tool feels like it's working.
Until it isn't — and by then, you've already trusted it too much.

That "$200/month nobody uses" story isn't about your team. It's about a tool that was sold as certain when it was never built to be. You're not tech-stupid. You were oversold certainty that doesn't exist yet.

Here's what EY's research confirms: enterprise AI consistently feels more reliable than it actually is. The outputs look confident. The demos are smooth. But under the hood, these tools make errors with the same confidence they make correct calls. That's not a bug — it's how the technology works right now.

This matters for your business because you're evaluating AI the same way you'd evaluate a new hire. Competent, consistent, accountable. But AI isn't any of those things — yet. It's a sharp tool that needs a guardrail.

The practical shift: stop asking "which AI tool should I buy" and start asking "which one specific task could I test in 30 days with a human check on the output." That's how you get a real win without real risk.

Small test. Human review. Measurable result. Then you decide.

What's the one AI tool your team bought but quietly stopped using — and why?

#AIStrategy #BusinessOwners #SmallBusiness #AIImplementation

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