AI Transformation

Everyone is moving on AI. Few can say what it is worth.

The pressure to act is real and so is the uncertainty, so every team runs its own experiments. Some are sharp. Most land somewhere between a convincing demo and production, and quietly stay there. Nobody can rank them, because each reports progress in its own words, and nobody can say what any of them has actually delivered. You have pilots everywhere and a portfolio nowhere.

Every AI project on the same ladder.

Max evaluates each project against whichever maturity model fits the work: Scale’s transformation model when AI is being rolled into how the organization operates, Scale’s innovation model when the AI itself is the new product, or your own framework. On the transformation model, process, data, systems, organisation, and people and skills are scored separately, and each climbs its own named levels: problem validation, solution validation, proof of concept, building the new way of working, pilot, and preparing full scale deployment. A level is cleared with evidence, not with a demo. Impact is scored alongside the technology, so the people being asked to work differently can see what the change is giving them, and leadership can tell activity apart from progress.