Alchemist Accelerator: Influencer Series Fireside Chat
Alchemist Accelerator: Influencer Series Fireside Chat
Podcast Description
The Influencer Series Fireside Chat, hosted by Alchemist Accelerator Founder & CEO Ravi Belani, offers intimate, high-energy conversations with influential leaders. Prominent VCs, startup founders, corporate executives, and academics come together for authentic, unscripted "dinner table" dialogues. After a decade connecting 4,000+ leaders and sparking 15,000+ influential relationships, the Influencer series now invites you to join the conversation.
Podcast Insights
Content Themes
The podcast covers a range of themes centered around corporate venture capital, deep tech funding, and the evolving landscape of AI and software. For example, one episode discusses how corporate venture capital can maintain financial independence while providing strategic value, while another focuses on the challenges deep tech startups face in securing funding beyond Series B. The show emphasizes practical insights into industry trends and strategic investment approaches.
The Influencer Series Fireside Chat, hosted by Alchemist Accelerator Founder & CEO Ravi Belani, offers intimate, high-energy conversations with influential leaders. Prominent VCs, startup founders, corporate executives, and academics come together for authentic, unscripted “dinner table” dialogues. After a decade connecting 4,000+ leaders and sparking 15,000+ influential relationships, the Influencer series now invites you to join the conversation.
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 2025
Why so many AI projects stall at proof of concept
Where agents are already driving real KPIs, from software development to customer support
How to tell if an AI opportunity is likely to deliver real ROI for an enterprise
Why constrained, well defined workflows win first
Vertical 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 startups
The missing “toolchain” for agents, from testing and evals to observability and tracing
How to think about moats, domain expertise, and speed in the AI platform era
Why Manjeet is excited about the intersection of AI, healthcare, and preventative fitness
If 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.
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