Run your people, fractionals and AI agents as one workforce
Everyone has an AI tool now. Nobody knows who owns the work
Adding AI to a team without roles adds work that falls between people.
Tools without owners
Agents and automations run, but nobody is answerable for what they do.
Roles nobody wrote down
Who does what is in people's heads, so work falls between them.
No way to hand over more
There is no measure of when an AI employee can be trusted with the next task.
Autonomy is the top layer, not the first
An AI employee can only take over People work that already runs on a system and a decision. Each layer stands on the one below it.
The people engine
From a need to work handed over: a role is written, a person or an AI employee fills it, and trust is earned before more work moves.
What must be true before AI employees join the team
Autonomy in People is earned on these: every role written, every line owned and trust measured.
- Every role written down
- People and AI employees alike, each with what they own and decide.
- Owners for every line
- A name on each line of each factory.
- How trust is earned
- Junior, medior and senior: what an AI employee must show before it does more.
The People toolkit in your workspace
The documents and apps the team and the AI employees work from.
- Role cards
- Each role with its work, its decisions and its owner.
- Hiring
- Open roles and candidates, people and AI employees.
- AI employees and trust
- Each AI employee by its job, with its trust level.
- Runs
- What each AI employee did, step by step.
One workforce, whoever does the work
Some work is done by employees, some by fractionals (part-time specialists), some by freelancers and some by AI agents. We count all of them as one workforce, because the questions are the same: who does this work, and how well.
Upkeep takes time from growth
The maintenance work of the workforce is cleared in three moves: we delete it, automate it or delegate it. The platform shows how much time each person and team spends in each bucket.
A system that gets lighter
We run the people side in four layers: Systems, Strategy, Execution and Autonomy. Each layer stands on the one below it. Execution runs the three lines, Hiring, Onboarding and Development, and Autonomy holds the People AI employee.
The main number: revenue per employee
Revenue per employee is the revenue of the year divided by the workforce, with people and AI agents counted as one workforce. Drivers feed it, and a target sits on it.
Questions
The plays, tools and books to start with
Each one is a page of its own, with the plays and tools it links to.
