Raise Your Game: Succession Planning

Every manufacturing operation depends on a steady flow of information from planning to production. Even when demand forecasts are accurate and production targets are realistic, valuable time can disappear between creating a plan and completing the work on the shop floor. These lost hours often result from communication delays, outdated information, equipment downtime, or changing priorities that disrupt the production schedule. Business leaders who recognise where these inefficiencies occur can make targeted improvements that increase productivity without adding unnecessary resources.

EVs are the future, but managing their heat is no small feat. Rejie Samuel joins us to explore the four key constraints that can make or break any transformation.

Why are so many companies investing heavily in AI, yet still struggling to see real productivity gains? Roshan Thiran explores the powerful metaphor of Jesus Christ “new wine in old wineskins” and applies it to one of the biggest business challenges of our time: AI transformation. AI is the new wine. It is powerful, fast, expanding, and full of potential. But many organisations are still trying to pour it into old wineskins: outdated business models, rigid structures, broken workflows, slow approval systems, legacy KPIs, and cultures built for control rather than learning. That is why AI adoption alone does not guarantee transformation. The real question is not, “Do we have AI tools?” The real question is, “Have we redesigned the organisation to hold the power of AI?” In this video, Roshan unpacks why the AI productivity paradox exists and how leaders can rethink four critical organisational wineskins: 1. Business Model: Are we using AI to create new value or just reduce cost? 2. Structure: Are we organised around silos or outcomes? 3. Processes: Are we automating broken workflows or redesigning work end-to-end? 4. Culture: Are we rewarding experimentation, trust, learning, and voice, or still rewarding busyness and control? The message is simple: AI is not exposing a technology gap. It is exposing an organisational design gap. The new wine is already here. Now leaders must build the wineskins that can hold it.