AI Agents Can Do the Work. But Can Enterprises Operate Them?

AI agents are getting remarkably good at completing tasks. Give an agent a goal, access to the right tools, enough context, and a well defined workflow, and it can research information, analyze documents, make decisions, update systems, and coordinate with other agents. That is the exciting part of Agentic AI. It is also the part we tend to see in demos.

Enterprise operations look different. A loan application changes halfway through underwriting. A customer provides new information after verification is complete. Two systems disagree about the same account. An approval that was valid yesterday may no longer be valid today. An agent summarizes a case before handing it to another agent, and a seemingly minor detail disappears in the process.

The happy path may represent 80 percent of what an agent needs to do. Enterprises live in the remaining 20 percent. The 80/20 framing is not an industry statistic. It is a way of describing where operational complexity tends to hide. The difficult part of enterprise operations is often not the normal case, but the exceptions, handoffs, dependencies, changing context,…