The Building Blocks: Scaling AI in Regulated Markets with Colin Carmichael, BAIA

In this episode, we talk to Colin Carmichael, Client Partner at 4most and Co-Founder of the Business AI Alliance (BAIA). Colin shares the blueprint for moving from experimental ‘Copilot’ usage to industrialised MVPs. He argues that while the technology is now “phenomenal,” the real differentiator for mid-market firms is getting the four core ingredients right: Operating Model, Technology, Data, and Governance.

What you will learn:

• The Maturity Gap: Why ‘Neo-Banks’ are out-pacing traditional challengers—not just because of budget, but due to “Governance by Design” in their cloud infrastructure.
• Model Risk Management: A deep dive into the “Black Box” of Generative AI and how to validate model accuracy before it touches a customer.
• Ownership of the Outcome: The critical question for unregulated sectors: If an AI solution erodes customer value, who signs off on the apology?
• Technical Debt vs. Greenfield: Why “vibe coding” is great for experimentation but dangerous for operational scale without a modernised data estate.
• The “Gut Feel” Investment: How to justify AI spending when ROI is difficult to quantify in the early months of transformation.
• Bridging the Generation Gap: Why the most successful teams pair “Problem Experts” (seasoned operators) with “Tech Experts” (AI-native juniors).

Read the article – Most firms can build a demo, but few can own what comes next