A lot of AI adoption challenges look similar on the surface, but the right move depends on where people are actually stuck. Two teams can both say that adoption is low and need completely different interventions: one needs clearer entry points into real work, one needs stronger proof that outputs are high quality, one needs a way to make a win repeatable across others — and if you treat them the same, they don't move forward.
AI Adoption Debug Assistant
The AI Adoption Debug Assistant GPT helps you identify where people are getting stuck, what you're actually trying to move, and the next best step. It is designed to help you identify the real bottleneck, focus on the group/workflow that matters the most right now, build an artifact that will push them to the next stage of adoption.
Think of this as a practical adoption coach you can use in the moment when a team or workflow is blocked from broader diffusion.
AI Adoption Debug Worksheet
If you prefer to think through this yourself or work through it offline, you can use the worksheet version. It follows the same flow as the assistant: start with what’s actually happening in real work, identify your goal / adoption risk / audience readiness, and use a decision table to guide you to the most effective format and next step.
How to use this
A few things that matter when you use either version:
- Choose one primary problem, not several
- Focus on where most people or the most important group are stuck
- Aim for the next useful behavior, not a full end-to-end solution to your AI adoption journey
- Match the format to the problem (don’t default to training)
When to use this
Use this when:
- Adoption feels slow or inconsistent
- You’re seeing one-off wins that aren’t spreading
- A team is interested but not changing behavior
- You’re not sure what kind of enablement will actually help
Start with a real situation you're facing. Don’t use this on a hypothetical. Start with something you’re actively trying to move this week — that’s where this is most useful.
