Scale software delivery without losing control.
Deploy governed AI employees that plan, build, test, and preview internal tools across departments while your admins and technical owners keep oversight.
Platform capabilities
Give every department software capacity.
AI Employee sits between business demand and technical governance: fast enough for teams, controlled enough for enterprise.
Agent teams per department
Marketing, sales, operations, finance, and engineering can each run governed AI employees.
Software delivery at the edge
Business teams describe the need. Agents build previews. Technical owners review and approve.
Identity and access control
Google Workspace and Microsoft Entra ID support, role-based access, and controlled workspace permissions.
Managed execution
Isolated workspaces, containerized runtime, preview environments, and managed deployment paths.
Usage and cost visibility
Track sessions, projects, token consumption, team activity, and cost by user or group.
Team governance
Groups, roles, skills, agent availability, billing, and policies controlled by administrators.
Governance architecture
Fast agents, enterprise boundaries.
The goal is not uncontrolled automation. The goal is a software delivery layer where agents do the heavy lifting and your organization controls identity, access, data, and release.
Human approval gates
Agents can move fast without bypassing review, policy, or release control.
Workspace boundaries
Projects, configs, stats, and files stay organized around users, groups, and tenants.
Model flexibility
Control which AI models and skills are available to each team or group.
Inspectable work
Keep the action trail, generated changes, and preview outputs visible for review.
Multi-tenant ready
Structure teams, groups, and environments for internal or client-facing delivery.
Skills marketplace
Enable specialized capabilities only where they are approved and configured.
Delivery workflow
From backlog request to previewable app.
Keep business teams moving without asking engineering to hand-code every internal workflow from scratch.
Put AI employees inside your delivery model.
Start with a governed pilot for one department, then expand the agent workforce across the organization.