Why most AI rollouts fail by week three — and what to do instead
The tool gets deployed. The team gets a demo. Three weeks later, nobody's using it. Here's the pattern I see in almost every failed rollout, and the one change that fixes it.
Short articles for founders and team leads navigating the gap between buying AI tools and actually using them.
The tool gets deployed. The team gets a demo. Three weeks later, nobody's using it. Here's the pattern I see in almost every failed rollout, and the one change that fixes it.
Most founders who come to me have already spent money on AI subscriptions. The tools aren't the issue. The missing piece is almost always the same thing.
The tools aren't the issue. They never were. What follows is a conversation that plays out — in one form or another — in almost every company I work with.
It's not a consulting report nobody reads. It's a one-page map of where your team's time actually goes, with three specific recommendations ranked by impact. Here's the format I use.
I used AI to complete my Google Data Analytics capstone — not to do the work, but to elevate it. Here's exactly what that looked like, and why the distinction matters.
Knowing how to use ChatGPT is not the same as knowing how to prompt it well. The gap between those two things is where most workplace AI adoption stalls.
More articles in progress. Check back soon.
The chatbot on the homepage is a good place to start — or just email me directly.