An AI Workforce That Works Like Staff
Named roles with skills, permissions, live status, and budgets that stop them at the cap. Requests, engineering work, and business processes, all on the record.
The whole workforce runs inside accounts you own. No root keys exist on our side.
Meet the Workforce
Every agent here has a name, a role, and a job description.
SKILLS · PERMISSIONS · LIVE STATUS · SPEND VS CAP, PER AGENT
Open the roster and read each one like a colleague: the skills it carries, the permissions it holds, what it is working on right now, and what it has spent against its budget this month. Budgets are hard stops, not dashboards; an agent that hits its cap stops. And when there is no work, an agent does not idle on the clock. It scales to zero and wakes when called.
The Same Workforce, Beyond the Desk
The desk is the front door. Behind it, the same agents carry engineering and business work.
Engineering work, shipped properly
Agents write code, open pull requests, review changes, and deploy through the same Git workflow your team already trusts. Nothing lands outside it.
Business processes on playbooks
HR, Legal, Finance, and RevOps work runs on proven playbooks: the intake understands the request, picks the right playbook, and puts agents on each step.
Every one of these actions is governed
Identity, guardrails, approvals, budgets, and the audit trail apply to desk requests and deployments alike. The workforce earns trust the same way people do: by being accountable.
Designed, Signed, Then Built
Engineering work arrives as a request and leaves as a merged pull request, and the middle is where the trust gets earned.
CHECKED BY your reviewer
MERGED BY a human, always
The agent writes the design first. A human signs it before a line of the build exists. The code comes back as a pull request, reviewed like any teammate's, and the merge itself is a human act: no agent merges its own work. The full walkthrough lives on the engineering page
The Workforce Clocks In Where You Already Work
Code and reviews in GitHub or GitLab. Requests and approvals in Slack. Sign-in through SSO. The estate on five clouds or your own Kubernetes.
A TOOL OFF THE BOARD IS IN AN AGENT'S HAND
Nothing to replace and nothing to migrate: the workforce reports to the tools you already run, and leaves every one of them the way your team would.
What the Workforce Returns
Counted, not promised.
EVERY DRUM ALREADY LIVE ELSEWHERE ON THIS SITE
These are the numbers the rest of this site signs its name to, earned by the same workforce this page introduces. When the desk clears a queue or an agent ships a change, it lands inside those figures, on the record.
Questions the Workforce Gets
Who approves what an agent does?
A human, every time. The agent shows the exact action and the reason, then waits for a named yes in chat or Slack. 100% of actions are governed.
Can I stop an agent mid-task?
Yes. Steer it in plain language, or stop it and undo what it did. The transcript keeps every word, and you can pick the thread back up days later.
What do idle agents cost in compute?
They scale to zero. An agent with no work holds nothing, and every agent's budget is a hard stop, not a report.
Do agents ship code unsupervised?
No. A human signs the design before the build, every change lands as a reviewed pull request, and no agent merges its own work.
Can we build our own agents here?
That is not the product. Roles arrive as proven playbooks, hired from a catalog and governed from their first action, not assembled from a kit.
Pick Your Next Question
Every reader leaves on a track.
Where do requests land? The service desk page walks one from any door to done. How is all of this controlled? The governance page walks the six controls. What runs underneath? The platform page shows the control plane the workforce stands on. What would it do for your team? The solutions pages answer by role, from builders to leadership. What would it save? The calculator does the math on your numbers, not ours.
Put the Workforce to Work
Hire the first role, delegate the first queue, and read everything it did.