How can we best evaluate agentic AI? - Brookings Institution

Everyone's talking about agentic AI like it's the next magic button. But the real story is buried in a Brookings Institution report most people will never read. That report confirms what you probably

Everyone's talking about agentic AI like it's the next magic button. But the real story is buried in a Brookings Institution report most people will never read.

That report confirms what you probably already felt — successful AI adoption requires redesigning processes and managing major organizational change. In other words, the "just plug it in" promise was always a lie.

No wonder that $200/month tool is collecting dust. It wasn't a you problem. It was a setup problem. The tool was sold to you before anyone mapped where it actually fits in your workflow.

Here's the shift that changes everything: stop evaluating AI by its features and start evaluating it by one specific problem it solves in one specific step of your existing process. Not your whole operation. One step.

That's how you get a real win in 30 days without touching anything that already works.

Pick one repetitive task your team does daily. Ask one question: can AI do this faster with the same or better accuracy? That single test tells you more than any demo ever will.

What's the one AI tool you paid for that your team quietly stopped using — and do you know why?

#AIStrategy #BusinessOwners #SmallBusiness #AIImplementation

Original Source

Integration of agentic AI often requires organizations to combine roles, redesign processes, and manage significant organizational change. This ...