Spicy AI

 Welcome to the Spicy AI Podcast — Ctrl-Alt-Disrupt.

This isn’t your typical AI chatter. We’re diving headfirst into the messy, fascinating world of AI in credit and Order-to-Cash —
where leaders are juggling real risks, real opportunities, and real tough calls.

We’re here to ask the spicy questions others dodge: slicing through the hype, poking holes in assumptions, and spotlighting
where AI actually helps… and where it can go badly wrong.

Think of us as the Statler & Waldorf of the O2C tech world — critical, unafraid to highlight the negatives,
because exposing the pitfalls is the only way to make sure they’re avoided.

Our goal? To ensure the credit world is not just part of the AI future, but leading it with clarity, courage, and credibility.

So buckle up — because this podcast has bite, brains, and yes… its very own Scoville rating.

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Microsoft Copilot – Hype, Help, or Headache?
In this spicy episode of Ctrl-Alt-Disrupt, Mark Harrison and Joanna Miler dive into Microsoft Copilot — the AI-powered assistant built into Microsoft 365. We cut through the vendor hype to ask tough questions: Is Copilot truly boosting productivity, or just shifting the chaos? Can it be trusted with security, priorities, and compliance? Or is it being misused as an unsupervised digital intern?
Expect sharp debate, real-world takeaways, and a few laughs as we explore where Copilot delivers value, where it falls short, and what leaders must do to make AI work in practice.

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In this episode, Mark Harrison and Joanna Miler turn up the heat on Volume Bias in AI — that sneaky ingredient that can overpower the whole dish if you’re not careful. We’re serving up sizzling questions like: Is bigger data always better, or can it leave your model over-salted? How does “too much of one thing” skew results in credit, collections, and customer treatment? Should governance frameworks include a taste test for volume bias? What signs show your AI is running too hot on one flavor of data? And what’s the secret recipe to balance the mix — rebalancing, weighting, maybe a dash of synthetic data? This isn’t your average AI podcast. It’s bold, it’s sharp, and it comes with a Scoville rating.

 

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In this episode, we break down what Data Mesh really is — and what it means for Credit and O2C leaders. From risk data ownership to faster insights for collections, we explore how this approach could reshape the way finance teams manage and use data.

: AI Hallucinations

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Welcome to Ctrl-Alt-Disrupt, the Spicy AI podcast with Mark Harrison and Joanna Miler, where we turn up the heat on artificial intelligence — especially in the world of Credit /Order-to-Cash (O2C). This episode dives into one of AI’s most dangerous blind spots: hallucinations — when AI confidently gives you information that sounds right but is completely false. AI doesn’t know the truth — it just predicts what sounds likely, and that can cause big problems in finance, for example: False regulatory claims (invented compliance rules) Made-up financial metrics (like fake DSO averages) Non-existent case studies and success stories Incorrect process advice (approvals after invoicing!) Fabricated legal interpretations The message is clear —verify before you trust. AI can be brilliant, but confidence doesn’t equal accuracy.

Spicy AI Podcast Episode 5:THE DATA READINESS MYTH

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Welcome back to Ctrl-Alt-Disrupt, the Spicy AI Podcast with Mark Harrison and Joanna Miler — where we turn up the heat on AI in Credit, Order-to-Cash, and Shared Services. In this episode, we tackle one of the biggest assumptions in digital transformation — the so-called “Data Readiness Myth.” What do we mean by that? Too often, AI projects start with the claim, “Our data is ready.” But dig deeper, and you find missing fields, inconsistent definitions, and ungoverned data flowing across silos. AI can’t fix bad data — it only amplifies it. Who should lead this? Mark and Joanna debate whether Credit and O2C teams in Shared Services are best placed to drive these initiatives. After all, they’re closest to the customer, the cash, and the metrics that matter most. What data are we really talking about? Think: master data, payment behaviour, dispute categories, credit limits, DSO trends — the daily heartbeat of business decisions. And the risks? Legal and compliance leaders need to check before going live — from GDPR and audit trails to data sovereignty and model explainability. Because in AI, “ready” is never just about technology — it’s about trust. Tune in, question everything, and remember: Control. Alt. Disrupt. And keep your AI spicy.

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Welcome to Ctrl-Alt-Disrupt, the Spicy AI Podcast with Mark Harrison and Joanna Miler — where we ask the questions others avoid, cutting through the AI hype to explore what really drives value in Credit, Order-to-Cash, and Shared Services. In this episode, we dive into a bold topic: The Myth of Sustainability. Why is everyone talking about “sustainable AI” — yet so few initiatives ever scale? We explore three big themes: 1. The Hidden Carbon Cost Are companies underestimating the environmental impact of endless AI pilots and experiments? Should “business outcomes per kilowatt” become part of ESG reporting? 2. ESG Talk vs. Business Reality How does the obsession with proof-of-concept projects conflict with real sustainability goals? Is “green AI” the next form of corporate greenwashing? 3. Measuring True AI Sustainability Can organizations link AI directly to measurable outcomes like cash flow, risk reduction, and environmental accountability? If not, is it innovation — or hypocrisy? “We all have a duty of care to the environment and the generations that follow. Efficiency matters — but so does honesty about its cost.” Control. Alt. Disrupt. And keep your AI spicy.