Access and adoption aren't the same thing. The gap between them is where productivity is lost.
A few confident people use it well. Some try it, get inconsistent results and drift back to old habits. Others never open it. A few use it with no structure at all. The business pays for all four and captures the upside from one.
Already saving time and using Claude well. The exception, and their standards don't spread on their own.
Tried it, got mixed results, lost momentum. Occasional use, no habit.
Never found a foothold. A subscription they rarely open.
Using AI with no shared standards. Output quality varies and nobody agrees on the approach.
Illustrative. Every organisation's split is different.
The length of task frontier AI can complete on its own has doubled roughly every seven months since 2019, and every four months since 2024. A single training day is behind within the year. Inconsistent adoption means most businesses are already leaving productivity on the table. A steady rhythm solves both.
Most organisations don't fail at AI because the tool isn't powerful enough. They fail because usage is inconsistent, confidence varies across teams, and people don't know how to apply it to the work that actually matters.
Something that doesn't disappear when the training ends: a shared standard, capability inside the business, and a rhythm that keeps pace with how Claude evolves.
Not whether people attended the sessions. Whether they're using AI differently in their daily work.
A short, paired series. One session builds the mental model. The second puts it to work on real tasks.
Between the sessions, everyone tries a real task with Claude before they return. Behaviour change happens between the sessions, not just during them.
Foundations stand on their own. Many organisations start here to build the case internally before going further.
Once everyone shares a foundation, the programme builds in four connected layers, from the whole company down to the individual. Each does a different commercial job. Together they build capability that compounds.
The whole business stays current, new starters catch up, and AI stays on the agenda instead of on the shelf.
Commercial roleStops AI becoming a launch event rather than a permanent capability.
Early adopters become force multipliers: an in-house resource who can answer questions and share what works.
Commercial roleReduces long-term dependency on external trainers.
Each team moves from understanding Claude to using it on the work they actually do, with use cases built around their tools, tasks and goals.
Commercial roleThis is where the practical return happens.
Built entirely around one person's role and ways of working. Delivered to ASX 200 board chairs and C-suite leaders.
Commercial roleFor the people where better AI use has disproportionate impact.
Department workshops start from tasks like these and are built around the tools, targets and habits of the team in the room.
Pricing depends on team size and mix.
Enquiries come to Gareth. He reads every one and replies personally. gareth@friyay.ai