Your AI agent may have made the decision, but your company owns the risk

Conversely, forcing senior managers to manually double-check every piece of background information behind every automated suggestion destroys projected productivity gains. You end up paying the full subscription cost for the automated system while retaining the full payroll cost of manual review.

When nobody owns the decision

The AI failures that make headlines are usually the obvious ones. Enterprise systems have another class of failure: the transaction that succeeds.

Traditional IT monitoring is designed to catch systems that break. A server stops responding, a database times out, or an application crashes, triggering an immediate alert. Policy failures do not trigger technical alarms. The purchase order processes, the supplier gets paid, the customer receives a confirmation email and the transaction closes. From a technical standpoint, nothing failed. From an internal governance standpoint, it was a complete failure of controls.