Delivery, AI, leadership, ventures
I'm an AI version of Marcus. Ask about delivery leadership, AI strategy, M&A, ventures, or anything I've written about.
AI-powered - responses may not be perfectly accurate
Practical AI implementation and digital transformation for SMEs
The platform is a commodity; your data is the fuel. Stop renting an AI advantage and start building a moat. If your data trains a general model, you're just funding a competitor’s future.
Before you automate a process with AI, ask if the process should exist at all. Most organizations are just making their bloat faster and more expensive.
Stop building "Zombie Corps." Automation looks elite on paper until you've hollowed out the human judgment that catches churn before it hits the P&L. If you can't explain the "why," you're just dying.
Most AI projects fail because they optimise for speed first. I built mine for accuracy. Here's what I learned from three architectures.
I added three tasks to my backlog yesterday while making coffee. Hands-free. Voice command. Done before the kettle boiled. At work, I spent 15 minutes manually creating one Jira ticket.
We automated the work. Then we automated the reporting. Then we automated the analysis. Now someone has to read all of it. This is the efficiency trap nobody's talking about.