Where Enterprise AI Is Really Working and Why, with Salesforce AI Leader Manjeet Singh

Manjeet Singh lives where AI hype meets real enterprise reality. He is the Senior Director of Product Management at Salesforce AI and Agentforce, and previously led product teams at Iron Mountain and ServiceNow. He spends his days shipping AI products that millions of people actually use.In this episode, Manjeet sits down with Ravi Belani to talk about what is really working in enterprise AI adoption, and where a lot of teams are still stuck in POC land.They explore:The real state of enterprise AI and agentic adoption in 2025Why so many AI projects stall at proof of conceptWhere agents are already driving real KPIs, from software development to customer supportHow to tell if an AI opportunity is likely to deliver real ROI for an enterpriseWhy constrained, well defined workflows win firstVertical vs horizontal AI, and how to build more than “just an LLM wrapper”Why regulated and high cost of failure domains can be great markets for startupsThe missing “toolchain” for agents, from testing and evals to observability and tracingHow to think about moats, domain expertise, and speed in the AI platform eraWhy Manjeet is excited about the intersection of AI, healthcare, and preventative fitnessIf you are building, buying, or investing in enterprise AI, this conversation will give you a grounded view of what works, what does not, and where the next opportunities are likely to appear.