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Promenaut

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Glossary

The words we use, defined

Clean definitions of the terms behind a governed digital workforce. Where a definition says what the platform does, it rests on a capability in our catalogue.

Governed digital workforce
An estate of AI agents an organisation runs as accountable workers: composed into teams and workflows, acting on people’s authority, and governed as they run. The category Promenaut defines.
Digital workforce
The agents, teams and workflows an organisation puts to work alongside its people.
Agent
Software that does one defined job, using a model where judgement is needed and plain code where it is not; versioned, with a declared contract for what it reads and writes.
Team
A group of specialised agents working together on one stage of the work.
Workflow
Teams composed, with declared inputs and outputs, to do a whole piece of work that a person starts and follows.
Module
An installable package of agents, teams and workflows for one kind of work, which an organisation installs, changes or builds itself; the workforce ships as a growing library of them, and clients add their own.
Deputy
An agent acting on the authority of the person who launched the work, within that person’s permissions. On Promenaut, it is how an agent reaches knowledge.
Governed by construction
Designed so that control and evidence are produced by the work itself, rather than reviewed or reported after the fact.
Maker and checker
The person who launched a change cannot approve it: in a domain that requires approval, an agent’s change to knowledge waits for a different person.
Approval gate
A point in a workflow where work is held for a person’s decision, approved or rejected, with the decision kept.
Containment
Stopping or pausing work cleanly: a running workflow can be paused, stopped or cancelled, and an agent paused so it is refused at its next dispatch.
Model-risk evidence
What a run leaves for the second line: a verdict on whether the agents that ran matched those it launched with, and a check of what each agent declared against what it wrote.
No lock-in
Neutral to the model and to where it runs: the workforce can run in your own cloud account, on the model providers you choose, and your module code stays yours.

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