Named AI employees
Give each employee a human-readable name, role, assignment, model policy, budget, and reusable capability pack.
In development
AI employee operations
Your AI employees,working as one team.
Assign work, schedule recurring tasks, review consequential actions, and see every employee's performance, model cost, and deployment status from one command center.
Local development preview · synthetic data · no live employees, models, schedules, or connectors active
What it gives you
Named employeesEditable identity, stable authority
Recurring workCron schedules with budget ceilings
Human decisionsExact-payload approval queues
Operational proofKPIs, deployment, cost, and audit
The command center
See the workforce before you activate it.
This is the current local dashboard preview. Its names and figures are invented to demonstrate the experience safely; the visible runtime gates are intentionally off.
The working day
Manage employees, not prompt windows.
Each employee has a job, limits, evidence, and a visible place in the team.
One operations desk
See tasks, collaboration, knowledge intake, approvals, schedules, deployments, and activity without switching tools.
Recurring assignments
Schedule daily and weekly work with timezones, overlap rules, retries, budget ceilings, and a visible next run.
Human approval
Hold consequential actions for exact-payload review so an employee cannot publish, send, or spend beyond its authority.
Employee KPIs
Track success rate, quality, approvals, retries, latency, schedule reliability, task volume, and business outcomes.
Model cost control
See model spend by employee and project, enforce limits, and keep provider selection separate from employee identity.
Control is the product
Autonomy with a visible brake pedal.
Employees can prepare and coordinate work without silently gaining permission to send, publish, spend, change records, or activate a runtime.
Runtime gates
Default off
Scheduler, worker, model, and connector activation require explicit review.
Emergency control
Pause and rollback
Stop new work, preserve evidence, and return to the last verified configuration.
Accountability
Evidence retained
Stable employee identity keeps runs, approvals, costs, and audit history connected.
Portability
Provider-neutral
OpenAI, Anthropic, xAI, Gemini, local models, and compatible APIs remain replaceable.
Built for more than one app
Reusable employees. Isolated customer data.
The employee's reusable role stays separate from each application's data, credentials, business rules, budgets, and deployment. That lets the same governed workforce architecture support multiple products without giving one app access to another app's records.
Build your first AI team with us.
Agent Workforce is in development. Join the early-access list and tell us which jobs you want your first employees to own.
Join the early-access list