Operations and AI Readiness: The Discipline You Can’t Skip
Operations brings the lean discipline that AI implementations desperately need. Waste elimination, metrics culture, and daily standups matter more than algorithms.
Operations brings the lean discipline that AI implementations desperately need. Waste elimination, metrics culture, and daily standups matter more than algorithms.
Finance has been speaking in facts - insisting on data rigor, measuring value, building structures that survive turnover - since before AI was a boardroom topic. Those aren't peripheral skills for AI readiness. They're foundational.
The best AI implementations I've seen started with something unexpected: companies running 15-year-old ERP systems. Not the newest platforms - old, stable systems sitting on decades of clean operational data. Your ancient ERP might be your biggest AI advantage.
It's 3pm Thursday. You need a decision by Monday. You know the frameworks, but your situation is messier than any textbook. What if you had a virtual executive advisor with 40 years of experience available when you're stuck? Here's how applied wisdom bridges the gap between knowing and doing.
Discover how AI and automation transform your entire value chain - from R&D to customer service - into a competitive advantage. Learn practical strategies for building operational excellence that drives growth and positions your business for the AI-driven future.
How do you connect Technical Debt with a Range Rover? A lesson in technology leadership; discover how balancing innovation with practicality in technology can lead to effective leadership and agile business solutions.
Complexity means different things to different people in different conversations. Are we trying to simplify a process? Complexity is bad. Understand a supply chain? Complexity is good. Don't buzzword your initiatives with "complexity" until you get a wee bit more specific.
Practical Examples of Value Creation: How will digital transformation create real value for a manufacturing company? Let’s use the factory floor as a testbed ...
Practical thoughts and examples - how to manufacture time and attention, to get hands-on, relevant skills in new technologies
Additive Manufacturing faces slow adoption in most industrial companies due to material costs - and the challenge for designers to think differently about what was previously impossible.