The Architecture of Autonomy: Who Controls the Agent?

AI assistants can recommend the next action. Autonomous agents can execute it. For financial institutions, that distinction changes how workflows must be designed, governed and controlled. 

Explore the engineering decisions behind agentic financial operations, from defining execution boundaries and managing multi-step workflows to handling exceptions, failed actions and human intervention. 

When an agent can act across business systems, how do institutions maintain accountability without undermining the autonomy they're trying to achieve?