This course is built for operations directors, chief transformation officers, and senior business leaders in financial services, insurance, and other regulated industries who are tired of AI pilots that don't compound. It is not an introduction to machine learning. It assumes you have already seen what GenAI can do and now need to understand what it takes to make it the substrate of how your organisation actually operates.
We start from a single observation: most companies are layering AI on top of workflows that were designed for humans. The result is a chatbot here, a copilot there, a few promising experiments — and an operating model that is fundamentally unchanged. The companies that will win the next decade are the ones rebuilding their production function around AI from first principles. That requires a different way of thinking about workflows, data, decision rights, talent, and governance. This course teaches you how.
Across seven modules you will learn how to map your current production function, identify where AI-native redesign creates structural advantage, restructure workflows so the system generates output by default, design human-in-the-loop boundaries that hold up under audit, and sequence the organisational changes required to make the new model land. Every concept is grounded in financial services examples — KYC, regulatory reporting, customer ops, claims, credit decisioning — and aligned to the EU AI Act, PRA SS1/23, FCA SYSC, and DORA where it matters.
This course pairs with our AI Enablement service and the supporting pillar essay on what AI enablement actually means. Complete all seven modules and pass the final assessment to earn your AI Enablement Practitioner certification from Insight Centric.