> ## Content Index > Fetch the complete content index at: https://intentionforge.ghost.io/llms.txt > Use this file to discover other available public pages before exploring further. # The Three Day Weekend: An AI Adoption Case Study - URL: https://intentionforge.ghost.io/the-three-day-weekend-an-ai-adoption-case-study/ - Published: 2026-07-09T14:11:06.000Z - Updated: 2026-07-09T14:11:06.000Z - Author: Darren Eggett **Where AI adoption actually stalls, and what it took to get one builder moving again.** I keep hearing a pattern from business leaders right now. The tools are bought. The licenses are active. The training happened. But the results aren't showing up, and nobody can quite say why. The research backs up what they're feeling: RAND estimates that more than 80% of AI projects fail. That's twice the rate of technology projects that don't involve AI. MIT's Project NANDA found that 95% of organizations see no measurable return from their generative AI pilots. When someone's living that reality, the blame usually lands on the technology, the vendor, or the training program. In my experience, the stall is usually somewhere else. --- I want to tell you about one of my former clients. He works in a regulated industry, so the identifying details here have been changed. That said, the shape of his story is instructive for many caught in AI Adoption issues right now. ## The most qualified person in the building When his breakthrough happened, this client was a financial advisor at a wealth management firm. It was his "second career." A few years earlier he'd built a technology company. It grew fast, it was worth millions, and then it was gone. It fell apart quickly, almost overnight. But he rebuilt his working life in a different industry, and he was good at it. Here's the thing: he was fluent with AI. He'd used it in his tech life. And he hadn't seriously touched it in over a year. Not because he doubted the technology, but because building things was the part of his old life that had cost him the most. His firm would have looked at him and seen the most qualified person in the building to lead on AI. What they couldn't see was that the most qualified person in the building was the one avoiding it. Meanwhile, his firm had an ongoing rough spot of its own: new hires had to master roughly two dozen training documents before they could sit with clients. His own onboarding had taken months with no milestones, no way to calibrate for what he actually knew, and no way to identify and focus on the gaps. Everyone treated "memorization of everything" as the cost of entry. ## What we actually talked about In our sessions, we never talked about prompts, platforms, or which model to pick. We talked about burnout. We sat in the story he'd been carrying since the company collapsed, and we looked at what might be available to him just outside the frame his story put him in. What he discovered was nearly the opposite of what "burnout" suggested. Building things wasn't what had drained him. Building things was what *energized* him. He'd just gotten "building new things" tangled up with the emotional loss. Once he could see those as two separate things, the decision was his, and it came quickly: it was time to play again. ## Seventy-two hours What happened next took a three-day weekend. Not a quarter. Not a committee. One long weekend. On his laptop. The result: an application that read the firm's training documents and generated personalized tests for new hires, with adaptive feedback that explained why a wrong answer was wrong and which principle to carry forward. He allowed the user a choice of three explanation styles to meet learning preferences. After the holiday weekend, he showed his boss. They took it to the firm's IT department and asked them to turn it into a real product for onboarding. Our coaching work together wrapped up shortly after that, so I can't tell you what the firm ultimately did with it. I can tell you what I saw: a man who hadn't willingly built anything in a year shipped a working application in seventy-two hours. Nothing about his technical ability changed that weekend. What changed was the story he was navigating by. --- ## Where adoption actually lives This is what I mean when I say AI adoption stalls at the human level. The barrier is rarely the model, and it's usually not the training curriculum either. It's the story: - Burnout that reads as resistance. - Fear that reads as skepticism. - An old loss that reads as a lack of initiative. - The quiet whisperings management never quite hears as their team builds a story of resistance that just gets thicker with time. It's not a flaw in the person or the team. And it's not something that needs fixing. It's *navigation.* The map people were working from no longer matches the terrain they're suddenly standing on, and no amount of tool training redraws that map. Training teaches people the tool. It can't reach the person who's avoiding the tool. That's different work. It's the work I do. --- ## What I'm exploring now Right now I'm in the middle of a research project on exactly this. I'm interviewing leaders and individual contributors in organizations — places where AI is now the New Path Forward. I'm learning about what leads to successful adoption, where it's getting stalled, and why. If that's you, please sign up. Fifteen minutes, maybe twenty at the most. A handful of questions. You'll have my full attention. In exchange, you'll get the first look at my findings. And you have my promise: the call is *just for research.* I'm not selling anything. Right now I'm only trying to learn. I'd genuinely like to hear what the terrain looks like from whatever trail you're standing on. [Book a research conversation](https://calendly.com/intention-forge/ai-adoption-discussion?ref=intentionforge.ghost.io) --- **Darren Eggett** is the founder of Intention Forge. A former software engineer and engineering manager, certified through the International Coaching Federation, he works with leaders whose organizations have spent real money on AI and are still waiting for the results, discovering what's actually in the way, and building the kind of capability that turns AI from a tool people work around into one they work with. [intentionforge.com](https://intentionforge.com/?ref=intentionforge.ghost.io) *The client described here reviewed and approved this account. Identifying details have been changed at his request.*