We have studied firms at the frontier of getting value from AI and distilled what they do into nine moves, in order. Sector, size and type are irrelevant — the dependencies are the same.
Each move exists because a first principle requires it. Skip one and you miss the dependency that makes the next one work. You can run this yourself, with your team.
Trust precedes behaviour change. People who do not know what is true cannot act on it.
Whether the room leans in or hides. Expect roughly 10% leaners, 20% leaners-out, 70% wait-and-see. Note the surprises — they are your first signal.
Workflows are the unit of value. Tools are not. Each workflow has three costs: thinking, coordinating, doing.
One page. Workflows ranked by value at stake, with the dominant cost named in each. If the room cannot say where the time goes, you have just discovered the first thing to fix — and it is not an AI problem.
Workflow economics are governed by volume, stakes, and variability. AI lowers the cost of synthesis, coordination, and verifiable-target judgement.
Lock the scope, the team, and a six-week clock. Resist the temptation to pick three. The benefit of going narrow is faster signal.
Best for. A rebuild that fits inside one tool with prompts, basic logic, and a knowledge layer.
Tools. Claude Cowork, ChatGPT for Business, Zapier, n8n, Lindy, Gumloop, Make.
Best for. Workflows that touch multiple systems, need light custom code, or have data a no-code tool cannot reach.
Avoid. Traditional agencies and SIs that default to discovery phases.
Best for. Businesses planning to rebuild more than three workflows in 18 months. Maths only works at scale.
Skill. Has shipped at least one production AI workflow. Hybrid build + eval.
AI substitutes for synthesis, coordination and judgement where the target is verifiable. First attempt usually fails. Same executive succeeds with narrower scope.
Flag invoices where line-item variance from PO > 5%. Score: human reviews 50 random outputs / week. Threshold: loop runs alone above 90% accuracy across two consecutive weeks.
Permission and capability are both required for the work to change. They cannot be sequenced.
Self-selection. Curiosity is not equally distributed across the org chart. Watch who uses the tools without being told. The list is information no performance review can give you.
The cost map is recursive. Capability moves up the curve quarterly.
Whether you have enough working evidence from Move 04 to make confident calls. If not, run a second Move 04 on a different workflow before scaling.
AI cannot write the target. AI works best in recursive loops against verifiable targets. The remaining human-only work upstream is target writing.
Whether you can resist promoting purely from existing seniority. Their old-org-chart seniority is irrelevant — their ability to translate ambiguous outcomes into checkable rules is the qualification.
Firms exist because internal coordination is cheaper than market transaction. AI lowers internal coordination cost. The structure designed at the old cost is leaking value.
Whether the redesign is forced by what you have learned, not by what you read in an article. If you cannot point to specific coordination cost that has collapsed, you are guessing.
Trust precedes behaviour change, applied at the population level. Different motivations require different deals.
Whether you can write three different deals at once. Most leaders write one deal for everyone. That is the most common reason transformations fail at the human layer.