Automedon · The operating system in the novel
The stages of AI adoption
Nine stages, in order. Skipping is how you crash.
Rules and forms only
Your systems run on fixed rules and forms. Anything written in free text still needs a person to read it.
In the book: Rules with no reading
Unsupervised AI pilots
Someone uses an AI model on real work, but nothing checks its answers and no one owns the result.
In the book: The raw model, naked
AI tools for everyone, no shared method
Staff have licensed tools like ChatGPT, Copilot, or a vendor platform, but each team uses them differently and results vary from desk to desk.
In the book: The rented vendor detour
Shared playbooks on a setup you control
AI runs through a service you own, with written procedures and a named owner for each process.
In the book: Standard work on an owned service
Costs and quality under control
You know what each AI task costs, you match models to jobs, and automatic checks catch bad answers.
In the book: The cost meter and the routed fleet
AI that knows your business
Customers, history, and past decisions live in one connected place the AI can look up.
In the book: A knowledge layer the AI can see
Precise context, measured accuracy
Each task gets exactly the information it needs, and accuracy is measured while costs fall.
In the book: One clean traverse
Proven work runs on its own
Routine tasks with a proven track record run without review, while high-stakes decisions wait for a person.
In the book: Earned autonomy, class by class
Audit-ready and fully owned
Every AI decision is logged (what it saw, what it recommended, who approved it), and you could switch vendors tomorrow.
In the book: Owned governance