AI has become remarkably good at sounding confident. The problem is that it is just as confident when it is wrong—and in an enterprise setting, that difference can carry real consequences. That is the reality many corporate leaders are beginning to confront as they move beyond experimenting with generative AI and into deploying AI agents. These systems can now recommend actions, initiate workflows and make decisions on behalf of users. The productivity upside is clear. The question is no longer whether it works, but how much it can be trusted. Now corporate leaders are moving on to AI agents, which can recommend actions, initiate workflows and even make decisions on behalf of users. The potential is tremendous, and so are the risks.

Full report : Agentic AI boosts productivity but risks costly errors without governance.