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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

You don’t need to learn Python to govern AI. #riskstewardship #vibecoding

Human-centred AI is no longer about fancy tools. It reshapes roles, power, and responsibility. The real test now is leadership: when to slow decisions, protect judgement, and keep accountability human. #leadershipresponsibility #aigovernance #decisionaccountability #humanintheloop #trustinai #responsibleautomation #futureofwork #managementandai

AI Orchestration: Coordinating Intelligence at Scale Artificial intelligence is entering organisations through many separate tools, models, and platforms. Marketing teams use generative AI, operations deploy automation, and data teams develop predictive systems. The challenge is no longer access to AI but coordination across these capabilities. AI orchestration refers to the structured coordination of models, data flows, human oversight, and governance so that multiple AI sys

Thinkers360’s Top 10 Education Thought Leaders recognise experts who shape how learning evolves in organisations and society. Their work focuses on areas such as AI in education, leadership development, digital learning models, and future skills, helping institutions and professionals adapt to changing knowledge and work environments. The work contributes clear ideas on how organisations and leaders should understand and apply learning in the context of AI and organisational

Thinkers360’s Top 10 Robotics Thought Leaders highlights experts who contribute insights on robotics innovation, automation, and the future of human–machine collaboration. Their work helps organisations understand how robotics is reshaping industries, operations, and workforce skills across manufacturing, services, and emerging AI-enabled systems. I was selected in the Thinkers360 Top 10 in Robotics because my work explores robotics beyond the technical dimension. I focus on

For many years, software systems inside organisations were largely invisible. They processed transactions, moved information, and supported operations without directly interacting with people. Chatbots change this dynamic. Instead of remaining in the background, digital systems now appear as conversational interfaces. Employees, customers, and partners interact with them through natural language rather than through forms, dashboards, or complex software interfaces. This shift

Automation is often presented as the main advantage of chatbots. They can answer repetitive questions, guide users through processes, and reduce workload in customer service or internal support. In many cases, this works well. But automation alone is the easier part of the challenge. The real complexity arises when organisations attempt augmentation rather than replacement. A chatbot does not simply remove work; it changes how humans and systems collaborate. Employees may rel

Chatbots are increasingly designed to appear friendly, responsive, and supportive. They use conversational language, empathetic phrases, and sometimes even humour to make interactions feel natural. This design choice aims to reduce friction and improve the user experience. However, there is a subtle tension. Artificial warmth can easily create the impression of human understanding, even though the system does not actually possess empathy or awareness. Users may interpret conv

As chatbots are integrated into organisational processes, governance becomes essential. A chatbot can influence decisions, provide guidance, or shape the information that employees and customers receive. This means its behaviour must be carefully controlled. Clear boundaries are necessary. Organisations need to define what the chatbot can do, what it should not do, and when human intervention becomes necessary. Governance also involves transparency. Users should know when the

I am pleased to share that I have been ranked #25 globally for Robotic Process Automation (RPA) by Thinkers360. Thinkers360 evaluates analysts and thought leaders based on research output, publications, and contributions to professional discussions across technology and business topics. My work has focused on the strategic and organisational implications of automation and AI. In recent years, I have explored how RPA evolves from simple task automation toward more integrated d

From IA Congress 3–4 March 2026 – Milan Mauro Bogliani Automation Manager – Recycling Technologies Luca Collina – MBA AI Synthesist | Educator | AI Advisor | Influencer THINKER360 A. Technology and Automation 1. Recycling technologies today combine process automation, industrial digitalisation, and sustainability-focused engineering. How do these technological areas work together to improve efficiency in recycling plants? Efficiency comes from combining machines with smart so