Artificial-Intelligence

If you’ve read Episode 1, you probably remember how we opened the door to this new world of AI MCP (Model Context Protocol) — the idea that systems could start reasoning, not just integrating. It felt exciting, futuristic… maybe too good to be true. And honestly, that’s what I’ve been thinking about ever since. Because like most of you who’ve lived through long integration nights, broken APIs, and “mysterious” data mismatches — I’ve learned that every shiny new thing comes with its own set of “gotchas.” ...

For nearly two decades, the enterprise IT playbook has been clear and consistent. In the “Build vs. Buy” debate, the answer overwhelmingly leaned toward Buy. We adopted Salesforce, Workday, ServiceNow, and other SaaS platforms because they were secure, scalable, and significantly cheaper and faster than building enterprise systems from scratch. The costs, maintenance, and complexity of custom systems made SaaS the pragmatic choice. But a shift is underway. Enterprises are beginning to ask a deeper question: ...

When Salesforce announced Agentforce in 2024, it felt like a glimpse into the future of AI in the enterprise. Fast forward to Dreamforce 2025, and that vision has evolved — now it’s about Agentforce 360 and something Salesforce calls the Agentic Enterprise. “Agentforce 360 connects AI agents, humans, data, and workflows to elevate human potential in the age of AI.” — Salesforce Press Release, Dreamforce 2025 At first glance, it sounds like another big buzzword moment. But if you look closer, Salesforce is signalling something much deeper — a shift from “AI features” to AI teammates that work with us, not just for us. ...