Governing Multi-Agent Systems at Scale with CrewAI and Agent Control

CrewAI makes it easy to build agents that work together. But governing them at scale is a different problem. That's where Agent Control comes in. 

CrewAI handles orchestration: defining roles, assigning tasks, and managing agent-to-agent handoffs. Agent Control wraps Crews with a centralized policy layer that enforces what each agent can and can't do at runtime, a single pane of glass for policies. Agent Control goes beyond gateway guardrails to evaluate and steer at every step of an agentic workflow.

Together, CrewAI and Agent Control give you the full stack: multi-agent coordination with the confidence of governance at scale. 

Join Galileo co-founder and CTO Yash Sheth and CrewAI founder and CEO João Moura as they explain how to govern multi-agent systems at scale, covering behavior, cost, and compliance.

In this session, you'll learn:

→ How to enforce safety and security policies in CrewAI agents. 

→ How to steer agents to the best models and fallback tools at runtime to improve accuracy and control token costs

→ How to govern all your agents, whether CrewAI, internal or third-party, with one centralized set of policies

→ How to include non-technical stakeholders (such as risk and compliance) in writing or maintaining policies – no coding required