•    Determining organizational readiness: infrastructure, data, and orchestration capabilities required to support multi-agent systems at scale
•    Where today’s agentic tooling falls short and what must evolve for true autonomy
•    Governance, risk, and human-in-the-loop considerations for safe autonomous collaboration
•    Communication, coordination, and conflict resolution strategies among agents 
•    Key design trade-offs: centralized vs. decentralized control 
•    Practical lessons from real-world implementations
•    Tips for charting a roadmap from single agents to fully coordinated, enterprise-grade agent ecosystems

• Building risk management for AI agents 

• Establishing infrastructure to support responsible work from AI agents 

• Implementing testing and monitoring practices 

• Employing AI agents in contexts with human oversight