FlowGenX Co-worker

A FlowGenX Co-worker is an AI teammate on its own account. A manager configures a persona — name, title, personality, job description — assigns skills and connected apps, and publishes it. Colleagues reach it in chat or on channels; it remembers, runs on standing triggers, authors its own automations, and distils its work into reusable skills, so it gets better at the job over time.

An agent takes one task, runs, returns an output, and exits. A Co-worker keeps a persistent identity and memory, stays connected to your tools, works unwatched on standing responsibilities, and reports back by exception. It is a role you staff, not a task you prompt — with the identity, permissions, and audit trail that implies.

Most AI coworkers are a closed surface: one assistant, in one place, on one vendor's model. FlowGenX Co-workers are built on the workflows and skills you already have and governed by the platform your automations already run on — so you can staff a team of them, each with its own role, across 250+ applications, with the same permissions and audit trail as everything else.

It distils its own completed work into reusable skills. One run is enough to learn a skill; on every repeat it takes roughly 20× fewer steps. Skills can be reviewed, shared across Co-workers, and revoked.

Like an employee. Each Co-worker has its own identity, tool permissions, approval tiers for consequential actions, and an immutable audit trail. It can be reviewed, limited, paused, and offboarded — under the same SSO, RBAC, and policy controls as the rest of the platform.

Yes. Co-workers use the same Enterprise MCP tool layer as the rest of FlowGenX, including built-in browser automation that drives real browsers through forms, portals, and legacy UIs.

Both run on the same engine. Chat is an assistant you drive — AI that works with you. A Co-worker is a teammate you hire — AI that works for you. When work in Chat becomes repeatable, publishing it as a Co-worker is a promotion, not a migration.