Where are you on the ladder?
Over the past few weeks, we've covered the four transitions that determine whether AI actually works for your organization:
- Making yourself legible — documenting what you do well enough that a machine can help you do it
- Trusting your data — connecting AI to verified, auditable sources of truth
- Acting on signals — giving frontline staff the authority to move on AI-surfaced insights
- Closing the loop — letting the system learn from corrections and influence how the organization changes
None of these are primarily technology problems. They're organizational ones. The companies that get the most from AI aren't the ones who bought the most sophisticated tools. They're the ones who did the harder, slower work of getting their house in order first.
Here's the honest version of the maturity ladder:
- L0 – Tribal: Knowledge lives in people. Processes depend on who's in the room.
- L1 – Experimenting: Tools are being tested. Nothing connects to anything else.
- L2 – Legible: Work is documented. AI can be pointed at real processes.
- L3 – Knowledgeable: AI works from verified data. Outputs are auditable.
- L4 – Adaptive: Frontline staff act on AI signals with appropriate authority.
- L5 – Self-Improving: The system learns. The organization adjusts.
Most companies I work with are between L1 and L2. The gap between L2 and L3 is where the real investment happens. And L4 and L5 are where it starts to feel like a genuine competitive advantage.
Where are you?
That's not a rhetorical question. I've asked for your challenges at the end of every email in this series because I'm building something based on what I'm hearing – tools, workshops, and frameworks calibrated to where organizations actually get stuck.
If you haven't replied yet, now's the time. Tell me where you are and what's blocking you. I read every response and I'll write back.
— Will
