Governing AI Agents: Control, Risk, and Traceability Models

The automation of cognitive tasks currently necessitates control, traceability, and integration within corporate processes. This talk presents architectural patterns and real-world use cases based on multi-agent, agent loop, and agent swarm approaches, with a focus on governance models, risk management, and auditability. The objective: to render agentic systems reliable, scalable, and consistent with organizational responsibilities.