02 · Learn
AI Adoption Program, tailored to your business.
A hands-on, low-stress coaching journey that transforms your team into confident AI drivers who automate their own daily workloads.
The multiplier
The team's daily habits.
Most SMB owners are sitting on underutilized AI tools because their team doesn't know how to integrate them into actual day-to-day work. Buying licenses is easy, getting people to change habits, trust the output, and stop relying on manual work is where the real friction lies.
Custom, not off the shelf. I assess where the organisation needs to be, where people actually are, then design the adoption program that moves them one level at a time. The AI education and upskilling are built around your business, your tools and the work your team actually does.
The five levels of AI adoption
From Latent to Leading, one level at a time.
The problem
AI hasn't started anywhere in the business yet. Nobody's had a reason to look at where it would fit.
Why it matters
Clients are already turning to AI for the cheap, immediate advice they used to pay you for, that's real revenue. Competitors running more efficiently are taking margin on top of that. Both compound the longer this waits.
The problem
People are already using AI on their own, but the prompts and the process live entirely in their heads. No shared way of doing it, no guardrails on what goes in.
Why it matters
Every redone prompt gets paid for twice, and every ungoverned upload is already a real exposure risk.
The problem
Someone on the team already knows where AI pays off, but that knowledge and the tools built around it stay with them, nothing's connected to how the rest of the team works.
Why it matters
Whoever builds the shared playbook first captures the value. Everyone else keeps rediscovering the same thing alone.
The problem
One part of the business changed how it works because of AI, and it's actually paying off. The rest is still doing it the old way.
Why it matters
The gain is real, but it's capped at exactly the size of that one team. The same fix is sitting there, unused everywhere else.
What it looks like
Everyone's AI-fluent, every relevant tool is connected, the system is shared across teams, and people step in only when judgment matters.
Why it matters
The business competes on how much more the same team can carry. When you hire, it's for new work, the backlog is already handled.
How it fits