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Thanks for stopping by! I’m delighted to have you here. This blog serves as a platform for sharing my reflections, experiences, and insights on AI and business, which I care deeply about in my work as an AI advisor, academic writer, and business writer. Whether you’re seeking inspiration, information, or simply an enjoyable read, I hope you discover something that speaks to you. Feel free to browse, leave comments, and interact with the content. I always appreciate your feedb

In 2024, we were thrilled to have one chatbot write all our emails. Now in 2026, the honeymoon with chatbots is already over. Many companies now have dozens of specialised AI agents. You’ve got one for sales, one for logistics, and one that does nothing but track the cost of energy. On paper, it sounds lovely; in practice, it’s a mess. These are agents that aren’t communicating with each other. This is what we like to refer to as “Agent Sprawl”, and it’s the worst productivit

This year does not start with a new promise. It starts with unfinished work. The question is no longer whether AI can be tested, but whether organisations can judge what those tests really showed. 2026 opens as a year of choices: what to close, what to fix, and what deserves the discipline of staying power rather than another experiment. One year later, the main lesson is simple. Learning did not come from more pilots or smarter tools. It came from staying with what failed, a

AI is becoming more capable but harder to understand. Decisions are automated, yet humans remain accountable. This is why explainability must move beyond models and outputs, toward helping people keep clarity, confidence, and judgement when working with AI systems over time. #explainableAI #AIgovernance #AIleadership #HumanCenteredAI