Beyond AI Agents: Building a Governed Digital Workforce

The Most Dangerous AI Agent Is the One That Works.

One successful AI pilot is a win. But what happens when 40 agents—built by different teams, running on different models, and connected to your ERP, customer data, and financial systems—start taking action autonomously?

You have an AI workforce that nobody hired, onboarded, or supervised.

Every major technology wave—cloud, microservices, data—required an operating layer before enterprises could scale. AI agents are no different. But this time, the challenge is autonomous action under delegated authority: Who authorized the agent? What can it access? What did it do? What did it cost? And can you prove it?

Kubernetes became the operating system for containers. AgentOS is the operating layer for enterprise AI agents.

Join this session to explore how enterprises can move from isolated AI pilots to a governed, scalable AI workforce—with control over identity, permissions, execution, orchestration, cost, and auditability.

This session is for: CIOs, CTOs, CEOs, IT executives, enterprise architects, AI leaders, and decision-makers responsible for implementing and scaling AI across their organizations.