Scott Ratliff

Imagine an AI-native startup that needs to deliver highly personalized, real-time investment recommendations while navigating complex data security and governance requirements. As the architect, you are responsible for designing a system that connects this external agent to core customer data without sacrificing performance, compliance, or scalability. This is where Salesforce Headless 360 comes in.

Every Salesforce release requires an architect’s attention. Your mandate is not to read everything, but to immediately identify changes that invalidate existing decisions, break production systems, or unlock new design possibilities.

When your data lives in Salesforce, building powerful Agentforce agents is straightforward with Apex, Flow, and prompts. But how do you extend those capabilities to external systems without compromising performance or security? Traditional APIs have often been the best answer to that question, but two beta features for Agentforce, Model Context Protocol (MCP) and Agent2Agent (A2A) offer compelling capabilities specifically for agents.