AI Transformation Enablement AI-native operating models for software orgs Agentic tools for delivery flow incident learning 20 yrs: PagerDuty patent, StubHub production ML
You spent Tuesday in approval meetings. You spent Wednesday wondering why your team can't make a decision without you, and why the function still can't ship faster. The structure is leader-follower, all the way down. Chapter 16 named the discipline of small batches and pull. This chapter asks who holds the authority to decide what [...] The post Leader-follower vs leader-leader appeared first on…
You set WIP limits and they're being ignored. Your batches are getting larger. Your lead times are getting longer. The PMO says everything’s fine. Chapter 15 closed the safety cluster. This one returns to the work itself, where most planning still gets batch size wrong and pushes work onto teams beyond their sustainable capacity. 🎧 [...] The post Batch and push vs single-piece and pull appeared…
The incident counter your team reports up is at zero. What it can't show you is how the work actually gets done safely and how to keep it that way. Chapter 14 walked through the anatomy of incidents. This chapter turns to what gets counted, because the safety metric you use decides what gets funded. [...] The post Safety as absence vs safety as presence appeared first on Chris Gagné .
You're looking for the deviator who failed. The deviator was doing what the system trained them to do. Bainbridge's irony from chapter 13, that automation hollows out the operators it relies on, runs into incident response next, where blaming the operator leaves the conditions that produced the incident untouched. 🎧 Prefer to listen? This chapter [...] The post Deviation vs conditions appeared…
Nearly nine in ten change programmes fall short of what they set out to do. Your AI transformation is being set up to join them, and the reason has almost nothing to do with the technology. A bonus edition of Come Prepared to Die, outside the numbered chapters. Look squarely at the last big change [...] The post Your AI transformation will fail the way your Agile one did appeared first on Chris…
You list five options, score them against criteria, and pick the highest scoring. The experienced operator already knew what option to choose, their skill long since dropped below conscious thought. You're slower and you're no more accurate. Nothing is wrong with the analytical method; it was simply aimed at the wrong decision. Chapter 12 named [...] The post Analysis vs recognition appeared first…
Chapter 12 of Come Prepared to Die. Robert Kegan's three developmental stages, and the capacity that lets a leader disagree with a confident voice, including an AI's. The post Socialised vs self-authoring vs self-transforming appeared first on Chris Gagné .
Every framework in this book is a tool for contact with what is, and a trap the moment you obey it instead of using it. The post Just This appeared first on Chris Gagné .
An introduction to grounded-forge through one unedited session, receipts included: Marine warfighting doctrine read against the OpenStax management textbooks, with a full retrieval trace. The post grounded-forge, by example appeared first on Chris Gagné .
Chapter 10 of Come Prepared to Die. You defended a decision after it failed. But the decision was a hypothesis, and a hypothesis that fails is data. What you ultimately defended wasn't the decision, it was your identity. Reading the result and protecting yourself are two different jobs, and the second one eats the first. The post Attached to outcome vs attached to inquiry appeared first on Chris…