Covey
Your AI workforce, professionally managed.
Covey treats AI agents like employees: their own identity, an isolated sandbox, brokered access and a place in the org chart. You hire them, assign tasks and stay in control — one agent or your entire workforce.
Every agent gets an identity.
- Every agent with a role, a backlog and a supervisor — managed like an employee.
- Real work in real target systems: Zammad, GitLab, email and more.
- Cost, guard-rails and audit in view at all times.

A look inside the software
Real views from the control plane — workforce, structure, work, memory and cost.

The workforce — Every agent with status, runtime and role at a glance.
For your agents — and the people behind them
Covey is the platform for your AI workforce. The Companion app is the optional way for people to bring in their knowledge as context for their agents.
Everything your AI workforce needs
From hiring through the working day to control — Covey unites what an organization needs to let AI agents work safely and accountably.
Identity & org chart
Every agent has an identity, a role and a department. The org chart shows people and agents side by side — who works where and who reports to whom.
Isolated sandboxes
Every agent works in its own ephemeral sandbox with a persistent home. If it is lost, it is rebuilt from config and home.
Brokered access
Secrets stay in the control plane. Access to target systems is issued at runtime — short-lived and scoped to the task at hand.
Guard-rails & approvals
Policies apply centrally and outside the runtime, fail-closed. Critical actions wait for a human approval.
Backlog & tasks
Agents work a prioritized backlog like a team: tasks with states, blocks with follow-up questions — people stay in the loop.
Observability & cost
Every session is recorded: what the agent did and what it cost — accountable for the whole organization, with alerts and a kill switch.
How Covey works
Hire
Create an agent from a template: identity, role, versioned config (SOUL.md) and a place in the org chart.
Let it work
The agent pulls tasks from the backlog and works in its sandbox. Access to target systems is brokered at runtime.
Stay in control
Guard-rails apply centrally, critical actions wait for approval — every session stays accountable as a recording with cost.
