What if your AI agents were architected as intentionally as your Salesforce org? In this episode of Cirrius Talk, Greg Banks sits down with Tim and Gavin to break down a practical mental model for AI agent architecture—agents as decision-makers, MCP servers as shared capabilities, and skills as reusable workflows. They unpack when a use case calls for a new skill, a new MCP, or a brand-new agent (or even a multi-agent pattern), plus the anti-patterns to avoid as you scale. By the end, leaders walk away with questions they can use to design a secure, future-ready AI workforce across their Salesforce ecosystem. 

Takeaways

• Agents are the “brains,” not the plumbing—let them decide what to do when, not handle low-level integration. 
• MCP servers are your superpowers: secure, reusable connections into Salesforce, Jira, ERPs, and document stores that every agent can tap. 
• Skills are where your workflows live—think “mini playbooks” that orchestrate steps and call MCPs to actually get work done.
• Use the five-question test (audience, decision space, context, security, triggers) to know when a new agent is justified. 
• Multi-agent patterns shine when a “hub” agent needs to reason across multiple domain-specific agents—sales, service, finance, delivery, and more. 
• Build from the bottom up (capabilities and MCPs), but design from the top down (business decisions and outcomes).
•  Cirrius Solutions brings AI-shoring to Salesforce: 100% US-based teams, 50% military veterans and spouses, all AI & Data Cloud certified. 

Recommended Links

Gavin Franklin on LinkedIn

Tim Harting on LinkedIn

Greg Banks on LinkedIn

Cirrius Solutions

Cirrius Blog

Mental Model Diagram

Jason Fowler Music

Send questions to [email protected]