AI - Beyond the Hype
AI - Beyond the Hype is a podcast about what it actually takes to make AI work — and what it actually means when it doesn't.
Hosted by Sarah, a data engineering leader, and James, an enterprise technology leader, the show pairs the mechanics underneath AI systems with the executive consequences on top of them. Sarah opens the hood. James asks what it costs, what it risks, and who owns it. Neither of them is selling anything.
Each season takes a different angle on the same question.
Season one was written for senior executives, technology leaders, and data professionals: a nine-episode arc on the foundations behind successful AI adoption — data quality and observability, modelling, security, privacy, architecture, and operating models. The recurring finding was uncomfortable. Almost every AI failure the hosts examined wasn't an AI failure at all. The system worked exactly as designed. The conditions around it didn't.
Season two changes gear entirely. This season answers questions about AI from people who don't work in this field — and who are quietly tired of pretending they follow the conversation. How does it actually know things? Is it thinking? Why does it make things up? Should I let my kids use it? Will it take my job? Not dumbed down, and not a lecture. Deep enough to give a real answer, then stopping before the jargon starts.
If you have a question like that, the hosts would genuinely like to hear it. No question is too basic — the more basic, the better.
Send any questions, or just get in touch with us at: asksarahandjames@gmail.com
Better AI still starts with better foundations
Episodes
12 episodes
S02 - AI - Beyond the Hype - Season 2 Trailer
Season two of AI - Beyond the Hype is a different show, and we need your help to make it.Season one was nine episodes for executives and data leaders on the foundations underneath enterprise AI. Season two answers questions about ...
S01 - It's a Wrap: Nine Episodes, One Argument, and What We Got Wrong
Season one finale.Nine episodes. Four arcs. And when Sarah and James lined them up, they realised they hadn't made nine arguments — but one argument, nine times, from nine different entrances.Every failure covered this se...
S01 - Operating Models for Solid Foundations Part 2 - Fund the Foundation, Not Just the Launch
Part 2 of 2 in our Operating Models for Solid Foundations series.Part 1 diagnosed the problem: enterprises fragment their technology portfolios when they don't choose an operating model explicitly, and architecture governance without fu...
S01 - Operating Models for Solid Foundations Part 1 - The Model You Didn't Choose
Part 1 of 2 in our Operating Models for Solid Foundations series.Most large enterprises have project frameworks, architecture tollgates, and governance processes — and still end up with three separate "central" data platforms. In this e...
S01 - Data Quality Part 2: Fixing It - Critical Data Elements, Contracts, and the One Question That Stops Robodebts
Part 2 of 2 in our Data Quality series.In Part 1, James came in skeptical and walked out sold on the problem. In Part 2, we deliver the fix — the discipline, the architecture, and the eight concrete moves executives can make on Monday m...
S01 - Data Quality Part 1: Beyond Accuracy — What "Good Data" Really Means When AI Is on the Line
Most executives think data quality means one thing: is the number right? Three decades of research — and a string of nine-figure disasters — say it's actually at least seven different things, and AI is now scaling whichever one your organisatio...
S01 - AI Security Part 3: Why PII and the Privacy Act Are the AI Foundation Most Leaders Skip
You can have the most secure AI stack in the country and still be in breach of the Privacy Act before lunch. Sarah and James close the series with the foundation underneath the foundation: personal information. James, now grounded o...
S01 - AI Security Part 2: When AI Stops Answering and Starts Acting
Last episode was about AI that answers. This one is about AI that acts — and the moment prompt injection became a board-level risk.Sarah and James pick up where Part 1 left off. James, fully converted on the security argument, asks the q...
S01 - AI Security Part 1: Why AI Without Data Security Is a Breach Waiting to Happen
Sarah and James open the three-part Data Security for AI series with a simple argument: AI is only as trustworthy as the data underneath it.What we coverThe adoption gap: Gartner expects 40% of enterprise apps to embed AI a...
S01 - The Invisible Architecture: Why Data Modelling Is the Make-or-Break for Enterprise AI
Sarah and James unpack a question most AI programmes never ask early enough: is the data actually modelled? Drawing on recent benchmarks, documented enterprise failures, and hard ROI evidence, they explore why AI accuracy drops to zero w...
S01 - Why Data Observability Matters Before AI Scales
In the first episode of AI - Beyond the Hype, Sarah and James explore why data observability is one of the most overlooked foundations of enterprise AI readiness. They discuss how incomplete, delayed, duplicated, or poor-quality data can...