insights

insights

What we’re learning, in our own words.

What we’re learning, in our own words.

Monthly essays on data, capability building, and what real engagements teach us.

Monthly essays on data, capability building, and what real engagements teach us.

A note before you start: the story is finished without this part. The four articles before it are the whole argument, and if you are done, you are done, with nothing missed. This last one is for the curious. It is where I tell you how we are using all of this right now, because […]

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The last three articles make one argument: once you let software act for your business, the hard part is not the AI, it is governing it: deciding what each agent may do, proving it cannot do the rest, catching the safeguards that quietly failed. But there is a question underneath all of that, and it […]

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I ended the last piece with a promise to show you the uncomfortable half. Here it is. Almost everyone builds an agent this way, us included: you write down what you want it to do, a set of instructions in plain language, and you set it loose. That is the easy part, and it is […]

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This is the part I care about most, and the part most AI pitches skip. Here is something that is true and rarely said out loud: when you build an AI agent at your desk and connect it to your own accounts, you are the safety net. It can see whatever you can see and […]

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I gave AI agents real jobs inside my own company: not a chatbot on the website, but actual work that used to land on a person. One writes our marketing, one runs my calendar and my inbox, one handles the paperwork side of hiring, one helps with our code, and one watches the other four. […]

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By Jason Lepp and Harsh Joshi. About 6 minutes. Most data teams build the same things over and over. A date dimension here. A customer dimension there. A fact table for sales, another for usage, each one hand-written, each one slightly different from the last. It works, until you have forty of them and no […]

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Why most AI pilots never reach production, and why that stopped being a technology problem. Most AI pilots never reach production. The number that gets quoted is 88 percent. MIT’s 2025 study of enterprise AI put the share that delivered no measurable return at 95 percent. Pick whichever figure you trust. The story underneath them […]

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Twenty years of buying taught me what actually mattered. Now that we’re the ones being hired, it’s the bar we try to clear. I spent twenty years hiring consultants. I sat through the polished decks, approved the statements of work, and picked the impressive logo over the right team more than once. I got plenty […]

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Why most data transformations stall at the platform, and what has to fall first. Most data transformations I’ve seen over twenty years of watching, buying, and running them have failed in almost exactly the same way. The failure isn’t the platform. The failure is the sequence.A company decides it’s time to modernize. Leadership approves budget. […]

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