AI agents for operations can route requests and prepare reports, but automation becomes risky when approvals, exceptions, and accountability are unclear. This video explains where operational control can break and how secure workflows keep people responsible for sensitive actions. See how weak approval paths can allow fake accounts, refund abuse, and payment detail changes to move forward without proper checks. The video also examines why teams must understand a workflow before automating it, define when agents should pause, and measure more than processing speed. Finally, discover how CrossClassify’s identity and behavior signals can help flag suspicious devices, bots, and account takeover attempts before a refund clears allowing routine work to run automatically while people remain in control of sensitive decisions.