• Making sense of SenseMaking – the AI version

    I refer to this post as the AI version because here is the human version: Making sense of SenseMaking. That was written in 2016. In the 9 years since, AI happened and is turning SenseMaking on its head, or so I think. At least we have to change how we think about it and what…


  • Two years in with Enterprise AI – five things I learned

    I’ve been working on Microsoft’s (disclosure) AI solutions in the Modern Work area (Microsoft 365 or M365 in short) for the last two years. Since Copilot for M365 was launched. It’s been wild. I’ve learned a thing or five and here they are. With no particular emphasis or order. The learning is from my time…


  • SenseMaking from the Web

    This post is exclusively focused on articles covering AI. The common themes I picked up on are Enterprise AI adoption is being gamed, not being measured properly or not being focused properly, i.e. on the right use cases. Another theme is around strategies to prevent being made redundant by AI by boosting our uniquely human…


  • Enterprise AI solutions hunting for problems

    We are still at that stage where the promise way exceeds the benefits. The verdict is still out. Yes we have the instinct that there is great benefit to be had. But showing the money remains elusive for most. We are at the value proof stage for Enterprise AI and this still requires deep work.…


  • SenseMaking from the Web

    Common themes this week are the need for accelerated progress with AI experiments into production, especially with Agents. Building very specific Agents, targeting pain points or opportunities is key. Getting them into users’ hands and validating fast is crucial. Another theme is around creativity and how AI is either threatening it or enhancing it. Verdict…


  • SenseMaking from the Web

    A mixed bag this week. From articles extolling the progress organisations are making with the next wave of AI, Agents. To the struggle many company’s still have with getting users to adopt new technology. And some thoughts on critical thinking. All par for the course then, whenever a new technology comes around. AI Adoption: Why…


  • Thoughts on rapid prototyping for Copilot Agents

    In the next wave of Generative AI in the enterprise, the prompt is not the game, the business outcome is. And it’s with an Agent aligned to every business process, that the next level and business outcomes are going to be reached. Agentic AI aligned to business process requires a very different approach. I’ve been…


  • Agents are the new Apps in the enterprise

    AI agents, particularly Copilot agents, are increasingly replacing traditional enterprise applications by integrating intelligent assistance directly into workflows. This shift allows users to access powerful tools and insights without navigating complex software interfaces, streamlining processes and enhancing productivity. By automating routine tasks and providing contextual support, Copilot agents make it easier for teams to collaborate…


  • SenseMaking from the Web

    This week the focus is predominantly on the next stage of AI adoption and maturity in the enterprise. Agentic AI is a class of artificial intelligence systems designed to act as autonomous agents. They are capable of performing tasks, making decisions, and interacting with their environments without requiring direct human intervention. Their environments can be…


  • Information is not truth

    AI will add to the info overwhelming us. Resisting the delusion that info equals truth, especially when it reinforces our biases, will get harder. Truth takes time, energy, money and individuals, nations and enterprise benefit when we invest in it. I say this after watching MSNBC’s Ari Melber interview Yuval Noah Harari on his new…


  • The future of customer success is not human – part 2

    I wrote part 1 way back in 2017: The Future of Customer Success is Not Human. Things have certainly come a long way. For one, I was talking about automation at the time. Now it’s all about AI which has progressed in leaps and bounds. I was also focused on customer success then, as a profession.…


  • Disrupting the value chain with Enterprise AI

    This McKinsey article nails it: Gen AI’s next inflection point: From employee experimentation to organizational transformation | McKinsey. Points like these especially, “beyond experimentation”, “capture value from current momentum”, “inflection point” and so on. They get to the essence of this post. It means we are out of the starting gates with Enterprise AI. Some…


  • SenseMaking from the Web

    Not sure about what the AI transformation means for HR tech? We asked an expert Posted on July 31. As AI-powered technology continues to change the ways of work, and with more HR tech vendors than Baskin-Robbins flavors, the advancement of … 30% of generative AI projects in businesses predicted to be abandoned by 2025…


  • Identifying Technology Transformation S Curves for Modern Work

    Determining where the world of work is heading and how it is being transformed is not easy work and there are many great thinkers and institutions spending time on this. But for anyone leading a company or involved in the business of technology transformation, it’s imperative you do your own thinking. Here is mine. This…