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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.
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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
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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.
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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
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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.
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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.
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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.
| Episode | Date |
|---|---|
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The AI Risk Nobody Budgets For with Rafaeel Chaudhry
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Aug 12, 2026 |
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Conditions for success with AI pilots with Karen Chan
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Aug 07, 2026 |
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The AI Override Nobody Writes Down with Hirak Chatterjee
|
Aug 05, 2026 |
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Everyone is racing into AI. The bill arrives in production with Peter Hondrogiannis
|
Jul 28, 2026 |
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Fraudsters drive sports cars. Healthcare drives a school bus with Akhil Pandit Pautra
|
Jul 14, 2026 |
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The model is the easy part. Owning it for six months is the job with Tamojit Saha
|
Jul 07, 2026 |
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The Demo Never Made It to Production. His Did. With Marc Rohde
|
Jun 30, 2026 |
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Everyone's Cutting Heads Before the AI Even Works with Conrad Bedard
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Jun 26, 2026 |
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The AI Said His Work Was "Too Good" to Touch with Paul Paskovatyi
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Jun 23, 2026 |
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Innovation Theater ≠ Production with Sobhan Khani
|
May 14, 2026 |
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You Can't Block What's Already on Their Phones with Justin Lahullier
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May 11, 2026 |
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AI Doesn't Create Data Problems. It Amplifies Them with Lance Harlan
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May 07, 2026 |
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The Demo Is Easy. Production Is a Job with Debasish Bhattacharjee
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May 04, 2026 |
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When the Plan Meets Friction: ERP, AI & Public Sector Transformation with Brian Bowles
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May 01, 2026 |
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From Goldman Sachs to Carlyle: What 30 Years of Applied AI Actually Teaches You with Dean Barr
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Apr 29, 2026 |
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The Override Problem: AI, Trust, and the Human in the Loop with Rodrigo Senra
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Apr 27, 2026 |
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The Context Trapped in Your Best Employee's Brain with Neil Morris
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Apr 24, 2026 |
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The $200K Invoice Problem: Why AI Procurement Fails on Broken Data with John Cornetta
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Apr 22, 2026 |
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𝗔𝗜 𝗰𝗮𝗻𝗻𝗼𝘁 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗲 𝗮 𝘀𝗲𝗰𝗿𝗲𝘁 with Somesh Mohapatra
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Apr 20, 2026 |
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Stop Calling it AI with Asif Mujahid
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Apr 16, 2026 |
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Tribal Knowledge Problem with Brian Rowe
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Apr 14, 2026 |
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The Workflow Was Never as Standardized as You Thought with Tamara O'Reilley
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Apr 08, 2026 |
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AI in Telecom, Breaking the Norm with Michael Koker
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Apr 06, 2026 |
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The invisible AI decision architecture with Jimi Li
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Apr 03, 2026 |
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"Garbage in, AI gospel out" with Tufan Arikan
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Apr 01, 2026 |
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When you don't need AI – with Chris Obermeier
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Mar 25, 2026 |