“AI doesn’t just hold up a mirror to your mistakes. It amplifies them.”

Sandhya Ramachandran, CTO of Wipro, makes the case that most enterprises are thinking about AI backwards - as a tool to deploy, not an ecosystem to redesign around.

Our very own Sujit Janardanan digs into a real healthcare claims case study (one expert processes 40 claims an hour, a newcomer takes six months to reach four), her 'AI first, human-centric' philosophy, and a rapid-fire round where she has to call keep, delegate, or escalate on real high-stakes decisions.

A grounded, thought-provoking conversation for anyone past the pilot stage.

The moment your data enters an AI workflow, your existing security controls don’t get bypassed - they evaporate.

Amar Kanagaraj, founder of Protecto, makes the case for an independent trust layer built for the AI era covering a Middle Eastern bank that can’t let data leave the country, a healthcare company whose real risk was never the model, and an AI built to understand “salary information” as a concept, not just a pattern.

His core analogy: brakes don’t slow a Ferrari down. They’re what let it go fast.

“This is scary good." - That's what a healthcare client's own security team said on a call, watching an AI agent book appointments and resolve scheduling conflicts inside their regulated clinical software.

Rakesh Vaddadi, CEO of Beacon.li, tells host Sujit Janardanan how his team builds AI agents that don't just answer questions about enterprise software - they operate it, with zero backend integration and a knowledge graph learned straight from the UI.

Also: the claim that Beacon beat OpenAI to a multi-agent orchestrator by six months, and a rapid-fire round on exactly which tasks Rakesh does (and doesn't) trust an AI agent to handle alone.