“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.

Six thousand images a day with zero room for error!

Girish Vadharajan, Chief Data and AI Officer at Innoviti, built the AI system verifying field agents' proof of work across thousands of payment terminals nationwide - and it broke every assumption a standard LLM API prototype makes.

Karan Kirpalani gets into the black-on-black detection problem, the checkbox that made a top-tier model hallucinate, and a case study of a client cutting their monthly AI bill from roughly 80,000 dollars to a flat 9,000.

A real production build story, you cannot afford to miss as a builder.

A bank spent $60 million on a core system migration. It failed and shipped nothing.

Aravind Jayendran, Co-founder of Latentforce, is betting the opposite way - an AI built to do one thing, code migration, with enough precision to touch a 20-year-old ERP system that nobody at the company fully understands anymore.

Plus: why your code is your IP, and why that changes everything about which AI you trust with it.

Tune in to the complete episode to dive into his approach.