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Topic

consulting

38 essays on this topic.

  1. LLM evals aren't data science

    Evaluating LLM systems requires judgment, not statistics. That shifts who's qualified to do it — and where the gap is in most organisations.

  2. Consulting Is Mostly About Reducing Uncertainty

    Clients hire consultants to solve problems. What they're actually paying for is the reduction of a particular feeling. The distinction matters.

  3. When the Platform Is Mature, the Architect's Job Changes

    The hardest phase of AI architecture isn't building the stack. It's the moment after the stack is built and eighteen teams start making independent decisions on top of it.

  4. The Upstream Constraint Pattern

    In digital transformation, the bottleneck is almost always upstream of where the pain is felt. Mox is the cleanest case study.

  5. Building My Own Consulting Toolkit Before Day One

    Most consultants arrive at a new firm and learn their tools from colleagues. I tried something different.

  6. The Real Reason Mox Won (and What It Means for AI Transformation)

    Mox didn't win because they hired better designers. They won because they had no legacy to fight. The pattern applies directly to AI transformation.

  7. What Makes a Great AI Consultant (Beyond Technical Skills)

    The most dangerous person in an AI consulting engagement knows how the model works but has never sat in a credit committee.

  8. Banking DS to AI Consulting: What the Transition Actually Teaches You

    The operational instincts built in production banking don't belong in the past. They're exactly what makes a practitioner-turned-consultant useful.