Most enterprises are moving AI agents from experimentation into production, but greater autonomy also creates new challenges around governance, observability, and control.
In this session, leaders from AT&T, SAP, Posit, Revefi, and Rubrik discuss how organizations can operationalize agentic AI responsibly at enterprise scale.
Key takeaways:
Governance and control: Defining policies, permissions, approval workflows, and guardrails for autonomous agents
Agent observability: Gaining visibility into tool usage, execution paths, memory, and agent behavior
Human oversight: Designing escalation, intervention, and approval mechanisms into agent workflows
Production readiness: Using monitoring, audit trails, sandboxing, and feedback loops to scale AI agents reliably
