Most AI conversations happen in boardrooms. This one happens where AI actually runs. In Production is the podcast for CTOs, CIOs, CISOs, CDOs, and tech founders who have moved beyond the theory. The executives and builders making consequential decisions about AI inside real organizations, under real pressure, with real accountability. Every episode, host Nick sits down with a practitioner who has actually shipped AI into production, fought the organizational battles, navigated the resistance, and earned the right to an opinion. Not consultants. Not analysts. Not keynote speakers. The engineers, executives, and leaders who carry the scars and the wisdom to prove it. ______________________________ What we cover: - The gap between the AI demo and the AI deployment, and why most enterprises never cross it - What experienced leaders actually discovered when they tried to automate decisions that lived entirely in someone's head - Why data readiness, legacy infrastructure, and organizational alignment kill more AI programs than bad technology ever will - What genuine AI transformation looks like across financial services, manufacturing, healthcare, legal intelligence, and enterprise software - The honest conversation every technology executive needs to have internally before a single vendor is engaged or a single model is touched ______________________________ Who you will hear from: Guests on In Production have shipped AI at organizations across financial services, banking, healthcare, manufacturing, entertainment, and enterprise technology. They have led teams of hundreds, managed P&Ls built on data products, launched agentic systems inside regulated industries, and navigated the full arc from whiteboard to incident report to scaled deployment. These are not people with opinions about AI. These are people with earned experience in AI. The distinction is everything, and you will feel it in every conversation. ______________________________ Who this is for: - CTOs and CIOs navigating enterprise AI adoption with zero tolerance for hype and full accountability for outcomes - CISOs who need to understand how AI reshapes their risk landscape before the landscape reshapes itself - CDOs building the data foundations that determine whether AI programs succeed or quietly collapse - Tech Founders building in the enterprise AI space who want to understand precisely how sophisticated buyers think and decide - Engineering Leaders who have been asked to deliver on AI and want the honest, unfiltered roadmap from the people who have already done it - Investors who want clear signal on where enterprise AI is actually landing versus where the pitch decks say it will ______________________________ Why In Production? In software, being in production means one thing. It is real. It is live. It has to work. No more pilots running in isolation. No more proof of concepts that never ship. No more AI strategies that exist only inside a presentation. This show is named after the only moment that matters. The moment AI stops being a promise and becomes a system that real organizations depend on, every single day. That is the conversation we are here to have. ______________________________ New episodes weekly. Hosted by Nick, Enterprise AI professional with deep experience across LLMs, blockchain, and large-scale technology, now building the most rigorous and honest conversation in enterprise AI. Subscribe wherever you listen to podcasts. ______________________________ The views and opinions expressed in this podcast are those of the individual guests and do not represent the positions of their employers or affiliated organizations.
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In Production Podcast is a general podcast hosted by Unknown Host, with 0 episodes on record and a Required Pod Score of 80. PitchCentric scores this show on Booking Probability, Listen Score, and live audience signals refreshed every 24 hours.
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In Production Podcast
Conditions for success with AI pilots with Karen Chan
Aug 7, 202628 minS0
<p>Karen Chan (https://www.linkedin.com/in/karenfongchan/) is a mechanical engineer by training who has run three full transformation cycles: automotive and lean manufacturing, enterprise agile, and now AI. She advises executives and boards on governance and emerging issues like AI, sits on the Board of Governors for Western University, and is a public appointee to the Council of Professional Geoscientists Ontario. Her core argument, earned across every cycle, is that transformation is a people problem disguised as a technology problem. A system can be objectively better, and people will still resist it, until they understand what is...
The AI Override Nobody Writes Down with Hirak Chatterjee
Aug 5, 202627 minS0
<p>Hirak Chatterjee(https://www.linkedin.com/in/hirakchatterjee/) has spent twenty years in technology, half of it inside financial services and insurance, and now owns the general insurance core platforms and services at TD Insurance. He has also been part of major transformation programs across North America. His argument: every time a senior claims adjuster overrides an AI recommendation and turns out to be right, the company is watching its most valuable asset disappear. Not the model. The reasoning behind the override, which almost never gets written down anywhere.<br /></p><p>The conversation covers why free text boxes...
Everyone is racing into AI. The bill arrives in production with Peter Hondrogiannis
Jul 28, 202630 minS0
<p>Peter Hondrogiannis(https://www.linkedin.com/in/peter-hondrogiannis-3045ab58/) has spent close to 26 years in banking and financial services, with nearly two decades in fraud and risk, across TD Bank, NTT (formerly Millennium One Solutions), and now Equifax, where he leads AI enablement. He runs AI into production for a living, which is exactly why he is telling senior leaders to slow down. The industry is moving at what he calls the AI gold rush, and leaders are getting burned in post production because the architecture, the tokenization costs, the agentic resources, and the platform fees were never mapped...
Fraudsters drive sports cars. Healthcare drives a school bus with Akhil Pandit Pautra
Jul 14, 202630 minS0
<p>Akhil Pandit Pautra(https://www.linkedin.com/in/akhil-panditpautra/) is a pharmacist with an MBA who has seen healthcare from three sides: the front line as a pharmacist and pharmacy manager, the regulatory side through committees of the Ontario College of Pharmacists, and now the payer side, running healthcare benefits, fraud prevention, and AI-enabled risk management at one of the largest PBMs in Canada. He opens with the asymmetry that keeps risk leaders up at night. Fraudsters adopt AI faster than the organizations trying to catch them, not because their technology is better, but because they answer to no...
The model is the easy part. Owning it for six months is the job with Tamojit Saha
Jul 7, 202628 minS0
<p>Tamojit Saha (https://www.linkedin.com/in/sahatamojit/) is a technology leader who started his career as a telecom developer and now leads engineering, software development, digital transformation, and AI initiatives across complex, highly regulated environments in healthcare. He sits on Northeastern's program advisory committee, and a significant part of his work is figuring out how AI will reshape engineering, leadership, and workforce capabilities over the next few years. His core argument in this conversation: most enterprises no longer have a technology gap. The cloud, the models, the data platforms are all accessible right now. The real constraint has...
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