The session centered on demonstrating how AI agents, using protocols like Agent-to-Agent (A2A) and Model Context Protocol (MCP), can streamline complex workflows and improve enterprise efficiency. A live demo showcased how Agentforce, integrated with tools like Slack and Box, enables seamless communication between agents and external systems to resolve disputes, such as refund requests, with minimal manual intervention. The discussion highlighted the evolution of AI from generative models to advanced orchestrators, emphasizing the importance of governance, KPIs, and zero-trust security models in ensuring scalability and compliance. Attendees learned how these innovations reduce technical debt, improve customer experience, and align with enterprise goals by eliminating the need for point-to-point integrations and enabling plug-and-play flexibility through MCP.