Why Enterprises Still Don’t Trust AI and What It Really Takes to Deploy It in Regulated Industries

Most enterprise AI projects today are built on models that can recognize and generate patterns — but what happens when pattern recognition isn’t enough?

In this episode of the Alchemist Influencer Series, Vin Sharma, CEO and Founder of Vijil (and former AWS, Intel, and HP exec), joins Ravi Belani to explore the deeper realities of AI adoption — especially in regulated industries like banking, legal, and insurance.

Drawing from his time leading deep learning at AWS and studying the philosophy of technology, Vin shares why trust is the critical missing piece — and why AI systems must be reliable, secure, and safe before being deployed in mission-critical environments.

You’ll learn:

• Why most LLM-based agents will hit failure modes in industries that matter

• How society and regulation shape the future of AI — not just tech breakthroughs

• What “trustworthy AI” really means (and how to build for it)

• How Vin’s company Vijil is tackling this head-on with enterprise-ready agents

• Lessons from Amazon’s writing culture and how it shaped his startup playbook

If you care about the future of AI, safety, and real-world deployment, don’t miss this conversation.

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