MOVE THE NEEDLEMy articles and field notes on technology, leadership, organizations, and the way work changes.
The durable ideas live here as a curated index. LinkedIn remains the conversation layer and source for the full original articles. Open-source work is the proof layer—where the operating principles become inspectable systems.
Filter by the problem you are trying to understand, not by the technology currently generating the most noise.
Explicit, well-designed constraints make greater autonomy possible. They give agents room to exercise judgment while keeping consequential actions within boundaries the organisation can uphold.
Read article →Original LinkedIn ↗The executive choices that turn AI capability into business value
Read article →Original LinkedIn ↗Observability is becoming the control plane between software intent and production action—built on open signals, governed data, and bounded AI.
Read article →Original LinkedIn ↗Building Ativaly with agents led me to a simple conclusion. The faster implementation becomes, the more deliberate the delivery system around it must be.
Read article →Original LinkedIn ↗The tradeoff between local velocity and shared scale in non-tech enterprises
Read article →Original LinkedIn ↗Generative AI changed one part of software engineering almost overnight: code is now much cheaper to produce. What did not become cheaper is understanding that code, validating it, securing it, integrating it, and operating it inside the realities of a complex enterprise.
Read article →Original LinkedIn ↗The biggest trap in software engineering is thinking your primary value is writing code. It isn't. Writing code was always the easiest part, it is even more these days.
Read article →Original LinkedIn ↗By far the greatest danger of Artificial Intelligence is that people conclude too early that they understand it. Eliezer Yudkowsky, Artificial Intelligence as a Positive and Negative Factor in Global Risk
Read article →Original LinkedIn ↗"Smart companies fail because they do everything right. They cater to high-profit-margin customers and ignore the low end of the market, where disruptive innovations emerge from." The Innovator's Dilemma (Clayton Christensen)
Read article →Original LinkedIn ↗What's the most damaging decision a leader can make?
Read article →Original LinkedIn ↗Over the past two weeks, we have journeyed from the strategic ‘why’ of Enterprise Observability to the technical and cultural ‘how.’ We established that seeing our end-to-end value chain is a business imperative (Article 1) and explored a pragmatic blueprint for building the required technical capability, even within our validated GxP environments (Article 2).
Read article →Original LinkedIn ↗Everyone, including leaders, has likely said yes when they meant no, or agreed to something they had no intention of following through on. While lie may be a strong word, Im referring to those non-deliberate, often unconscious untruths. These can surface when individuals aim to please, avoid conflict, simplify a discussion, or simply conclude a conversation quickly.
Read article →Original LinkedIn ↗I’ve always believed that organizations evolve the way they are for valid, contextual reasons. Before advocating for change, it’s important to understand these reasons thoroughly. That said, I also recognize that no solution is all good or all bad; trade-offs are inevitable. This perspective doesn’t excuse complacency—it instead highlights the need for leaders to thoughtfully engage with organizational inertia and complexity.
Read article →Original LinkedIn ↗Nothing beats a small, cohesive group of people who communicate and collaborate effectively. ( Dominica Degrandis)
Read article →Original LinkedIn ↗Short posts connect current signals to the deeper themes: governed AI, evidence-driven delivery, and the operating systems required to make speed trustworthy.
I used to think of reliability as insurance. I have learned to see it differently: reliability is a strategic capability that enables risk taking, velocity, change and innovation.
Read idea → · Original LinkedIn ↗Am I getting too old to spot an AI fake? My kids regularly tease me about AI-generated music and videos I don’t recognise. Sometimes they’re right. Sometimes I’m not so sure.
Read idea → · Original LinkedIn ↗A map of 50 AI capabilities and five strategic questions about vendors, domain logic, memory, costs, and portability.
Read idea → · Original LinkedIn ↗Reflections from the IBM AI Executive Exchange in Brussels on business ownership, enterprise knowledge, and end-to-end outcomes.
Read idea → · Original LinkedIn ↗Do you need a Forward Deployed Engineer? Combine your people's understanding of the business with specialised AI experience, and build together.
Read idea → · Original LinkedIn ↗Observability was built for a particular architecture. That context has changed as agentic systems participate in operations.
Read idea → · Original LinkedIn ↗The current evidence does not establish a universal answer to whether the technology is ready, whether companies are ready, or which AI maturity sequence works.
Read idea → · Original LinkedIn ↗AI decision intelligence depends on data many companies routinely edit out: risks, decisions and dissent.
Read idea → · Original LinkedIn ↗AI context should become more useful as it grows. Too often, it becomes harder to inspect.
Read idea → · Original LinkedIn ↗Anthropic released its AI Native SDLC approach and the internet reacted as if software delivery had just discovered electricity.
Read idea → · Original LinkedIn ↗𝐖𝐫𝐢𝐭𝐢𝐧𝐠 𝐜𝐨𝐝𝐞 𝐚𝐧𝐝 𝐜𝐚𝐫𝐫𝐲𝐢𝐧𝐠 𝐚 𝐬𝐲𝐬𝐭𝐞𝐦 𝐚𝐫𝐞 𝐧𝐨𝐭 𝐭𝐡𝐞 𝐬𝐚𝐦𝐞 𝐭𝐡𝐢𝐧𝐠 🤯
Read idea → · Original LinkedIn ↗The bottleneck in agentic development isn't the agent's output. It's everything around it — including the output itself!
Read idea → · Original LinkedIn ↗Most AI noise disappears the moment you place it inside a regulated workflow. 🤯
Read idea → · Original LinkedIn ↗