How Much Supervision Should Companies Give AI Agents? | Harvard Business Review

You hired the consultant. Bought the tool. And now you're staring at another monthly charge for software nobody opens.

Here's what nobody told you: the tool wasn't the problem. The supervision level was.

Harvard Business Review just published something worth your attention. AI agents — the ones companies are rushing to deploy — need the right amount of human oversight to actually work. Too little, and they make expensive mistakes. Too much, and they're just a complicated calculator.

Your business data has exceptions and context the numbers alone don't show. An AI doesn't automatically know that your biggest client gets special pricing. Or that your Q4 is nothing like Q1. That's your team's knowledge, and without a process to transfer it, AI fails quietly.

This changes how you should evaluate any AI tool. Before asking "what can it do?" ask "who on my team stays in the loop when it runs?"

Start there. One process. One human checkpoint. That's what separates a tool that sticks from one that collects dust.

Pick the most repetitive task your team does this week. Ask yourself: where would a mistake hurt us? That's your supervision point. Build from that single guardrail.

What's the one AI tool your team bought but never actually used — and what do you think went wrong?

#AIStrategy #SmallBusiness #BusinessLeadership #AIImplementation

Original Source

... business data contains exceptions and context that may not be apparent in the numbers. In “How Much Supervision Should Companies Give AI Agents ...