An AI transformation methodology, the working model of your company, and an AI transformation companion — everything the person carrying AI needs to make a company AI-native. Installed in your own Claude environment.
A methodology, an instrument and a guide — one system, installed in your Claude environment.
The person carrying AI in a 20–200 person company — founder, COO, AI lead, or the one who stepped up.
You need knowledge and tools to build an AI-native company. The market hands you fragments and expects you to assemble them yourself — this is both, in one place.
Tested for a year in a real company: 80%+ daily adoption, processes redesigned to AI-native.
An AI transformation workspace for building AI-native companies.
Installed in your own Claude environment. Charlie is trained in the methodology and the tools, holds your company's context, works with you every day — and supports you through the method.
A transformation methodology built around how humans learn and create new habits — designed over two years, backed by data, proven across a full year inside a real company — distilled into a roadmap you can follow, so you always know the next move.
Your people, processes, tools, data, AI, context, and more — your entire company, mapped in one place. A view of how your company operates, shared between you and AI, to help you analyse how the company works and redesign it for the AI-native world.
ECM Group — contract engineering, not one technical person on staff — went from "we're just a bit afraid of it" to a team that builds its own AI solutions and redesigned how their work is done: saving millions, solving problems that had been unsolvable for years, and building solutions that drive company growth.
Read the full case study →Three things happen, in this order.
The method, the instrument, and the role itself — what an AI transformation leader actually does. Charlie teaches it in conversation, and Cezary is alongside you for the first six weeks. The System is installed in your own Claude environment as you go.
You and Charlie build LayerCake, and from then on you see the company through the System's lens — an honest model of how it actually works and where it stands today. The map turns that picture into your sequence: what comes first, what comes after, what to leave alone for now.
The plan meets the work. Charlie holds your company's context and works each stage with you, day to day — so the person deciding what happens next is you, with help always at hand.
You've done the learning — the courses, the experiments, the pilots. And yet scaling it and turning it into an operating system remains a challenge: the market gives you fragmented information that is hard to put together. The System exists exactly for that gap — it makes you understand how to drive the transformation and builds the capability into your team, so you can become a continuously improving, AI-native company.
The full story — why this exists, how the method works, and what it looks like inside a real company.
Early on, I realised that the usual approaches — consultants, training, agencies — weren't going to be enough to build truly AI-native companies. Scaling AI across a company is a new type of challenge that needs new tools and a new approach. So I spent two years building a system designed specifically for that problem — to enable AI transformation leaders to build AI-native companies — and then a full year proving it inside a real company: ECM Group, whose story you can read here.
Before FutureOrg, 15+ years shaping how organisations work — advising CxOs at Gartner, 400+ executive strategy sessions, building execution in fast-growth startups (Scandit, Zowie, Droppe).