The management layer behind a working agent workforce.

It gives teams a common way to staff, run, and manage AI coworkers across the business:

• — Define a role — what an agent is responsible for, and what it is not
• — Connect the business systems the role depends on
• — Onboard the agent on your context, rules, and worked examples
• — Route its output through human review
• — Track every run and decision back to a person and a version
• — Test performance before a change is promoted
• — Measure cost, quality, and business impact per agent
• — Improve the workforce without losing control of it

The point is not to make every job fully autonomous. It is to make delegated AI work dependable enough to rely on.

An agent in Vocion is a named identity with a role: a system prompt, the skills it can perform, the tools those skills may call, subagents it can delegate to, and a budget. The work itself runs either as a deterministic sequence of steps or as agentic reasoning — most real jobs need both, and Vocion runs them on the same footing, with the same context, review, observability, and budgets underneath.

• — Context — the systems, records, documents, rules, examples, and history a role depends on
• — Orchestration — multi-step work across systems, agents, and people
• — Review — approval, revision, or escalation for sensitive output
• — Observability — what each agent did, what context it used, and why
• — Evals — performance tests that gate a change before it is promoted
• — Budgets — visible, controllable usage and cost per agent
• — Portability — keep your workforce and its context if you change tools, models, or interfaces

An AI coworker becomes valuable when it becomes dependable: reviewable, measurable, improvable, auditable, reusable, able to work across interfaces, and able to grow into the role without starting over. That is what Vocion is built to provide.