From Strategy to Implementation: How I Work Across the AI Lifecycle
AI implementation gets talked about as though it is one job. It isn't. There is a significant difference between deciding where AI belongs, building the technology, teaching people about it, and actually changing how the work gets done. That distinction matters because organizations can do one of those things well and still fail to get meaningful value from AI. You can have a strong strategy without a system, a great system without adoption, or give everyone access to an AI tool without anyone actually changing the way they work. I've worked across enough of these areas to see why those gaps happen. It's also why I don't approach AI implementation from only one discipline. Strategy, Development, and Implementation Are Different AI strategy is about determining where AI can create value. What problem are we solving? Where does AI make sense? What should be automated, augmented, or left to people? What technology, data, and resources are required? AI development is abou...