Articles
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Find the Ceiling
Executive Deck ↗Exec summary ↗Listen ↗You are sitting in the Q3 budget review. The VP of agile transformation just got taken apart over the agile coach line. Cloud migration is six quarters late. The chief product officer is presenting another reorg and another offsite. You are up next, and for the first time in three years of these meetings you have real numbers. The winning numbers. The kind that beat expectations. The teams that doubled their month-over-month spend on Gen AI for building software shipped considerably more measurable value than the teams that did not. You are about to ask the room for more money. You are going to call it finding the ceiling.
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You Have a Sub-Five Miler. Your Relay Team Still Loses.
Executive Deck ↗Exec summary ↗Listen ↗You have ten engineers who could ship the next quarter alone. You have forty more who, through no fault of their own, cannot. Where do you put the AI investment, across the floor or into the ceiling? On the math, the answer most CTOs give is wrong, and the org chart you currently run is the residue of avoiding it for a decade.
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Why Are You Deprioritizing the Most Important Training Your Org Will Ever Get?
Executive Deck ↗Exec summary ↗Listen ↗You told the board AI would compress delivery cycles by 30%. Then you scheduled the training for 3 PM Friday. This is the private conversation your peers will not have with you.
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Without Writing Out the Standard, Your AI SDLC Will Struggle — Introducing the AI Software Engineer, a Silly Name for a Serious Problem
Executive Deck ↗Exec summary ↗Listen ↗You rolled out the training, bought the licenses, ran the pilots, and your engineering org is producing almost exactly what it was two years ago. The problem was never the training. The problem is that you never set a new standard for what it means to work at your company, and you are the only person who can. Introducing the AI Software Engineer — a silly name for a serious problem.
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You Are About to Hire a VP of AI Capability. Do Not.
Executive Deck ↗Exec summary ↗Listen ↗You diagnosed the CoE pattern. Now you are about to repeat it by hiring a VP of AI Capability. Here is why forcing your organization to build the competency itself is the only path that works, why it will be rough, and what the end state looks like when you get it right.
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Your Transformation Org Just Got a Fifteen-Year Service Award. Now You Want to Repeat That Pattern with AI?
Executive Deck ↗Exec summary ↗Listen ↗Your Agile Transformation VP just got a 15-year service award. The org still cannot release without a CAB meeting. Now you are building an AI team with the same playbook. You know how this ends.
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You Do Not Have Time for a Two-Hour Kickoff but You Have Time to Fail for a Year
Executive Deck ↗Exec summary ↗Listen ↗A VP told me his org only had 30 minutes for AI training. I recommended the two-hour kickoff that has consistently produced results. He said they did not have time. That told me everything I needed to know.
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I Drove a Cactus Into a House in Marseille, France
Executive Deck ↗Exec summary ↗Listen ↗You keep buying the fastest tool on the market and wondering why nothing changed. The problem is not the vehicle. The problem is your streets were designed a thousand years ago for donkeys. Here is what to do about it.
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The Tool Is a Commodity. The Organizational Adoption Expertise Is Not.
Executive Deck ↗Exec summary ↗Listen ↗The performance gap between top Gen AI coding tools is not what is slowing you down. Your governance model and your SDLC are. Pick the vendor who will coach your executives on how to actually build.
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How to Build an AI-Native Engineering Team (Not an AI-Assisted One)
Executive Deck ↗Exec summary ↗Listen ↗Most teams added AI tools and called it transformation. An AI-native engineering team requires two things most organizations are not willing to change: the staffing model and the governance model. Here is what both look like.
Essential or Ornamental
Three companies. Three choices. One satisfactory ending.
One does nothing. One maps the waste. One bets everything on twelve people in a warehouse.
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