Over the last few years, AI has become more involved in all important aspects of businesses. It’s moved from “interesting experiments” to systems with real impact.

If you work in customer service or operations, you’ve probably felt this shift already. AI isn’t just answering questions anymore; it is doing something magical.

It’s been three months since Salesforce unveiled Agentforce 360 at Dreamforce ’25, marking the fourth major upgrade in its first year. Yet, surprisingly, many people still don’t fully understand what Agentforce 360 really is.

Salesforce launched Agentforce just a year ago, and it’s already being used by over 12,000 users, including leading brands like Goodyear, Wiley, and 1-800Accountant.

Businesses are constantly exploring smarter ways to personalize customer experiences without overspending. But personalizing every interaction and doing it at scale has always been a challenge.

It hasn’t even been a year since Salesforce introduced AgentForce, and we’re already seeing its third major update, AgentForce 3.0. Announced just last month, Salesforce continues to push the boundaries of AI-powered productivity with faster, smarter, and more interoperable agents.

When Agentforce first launched at Dreamforce ‘24, it promised a game-changing AI experience for enterprises. Designed to automate tasks across service, sales, and operations, Agentforce quickly gained attention for its advanced capabilities.

Tom Leddy, Salesforce Technical Architect Director, shares his journey from C++ and SAP to Salesforce, the rise of AI in nonprofits, and how the Salesforce Well-Architected framework is shaping scalable implementations. We also discuss the future of Agent Force. 

Choosing the right LLM for Salesforce hinges on three factors—Speed, Memory, and Modality. Speed impacts real-time responsiveness, Memory determines how much information the model retains, and Modality governs the types of data it can process. By aligning these elements with your CRM needs, you ensure smoother user experiences and better business outcomes.

AI is transforming Salesforce development, and those who adapt will thrive. In this deep dive with Mohith Shrivastava, we explore Agentforce, LLMs, and the rise of AI-powered automation. Discover why debugging AI-generated code, mastering prompt engineering, and leveraging metadata are the key skills for developers in 2025. Stay ahead of the curve—learn how AI is reshaping Salesforce careers now! 🚀