Welcome to Supervity 👋
Understand what Supervity is and how the platform works
Supervity is a self-driving operations platform where AI agents act as autonomous operators — planning, executing, and monitoring work under human-defined policies.
Instead of manually building automation, you define what outcome you want, set boundaries, and let agents handle execution using tools, integrations, approvals, and schedules.
This documentation is structured to give all users the same foundational understanding first, and then guide you to role-specific use cases.
Before You Start
No matter your role, everyone using Supervity works with the same core concepts:
- Agents (Operators) — who plans and executes work
- Jobs — how work is executed step by step
- Auto Apps — packaged operational capabilities
- Integrations — tools agents use
- Approvals & Schedules — governance and control
Once these are clear, different roles simply apply them to different problems.
How to Use These Docs
Step 1: Build the shared mental model
Start with the Quick Start Guide to understand:
- what an agent is
- how execution works
- how tools, approvals, and schedules fit together
Step 2: Go deeper based on your role
After Quick Start, use the paths below to explore relevant use cases.
🧑💼 Business & Ops Users
Focus on outcomes and operational workflows.
- Common use cases
- Approval-based workflows
- Day-to-day automation
⚙️ Operations & Admin Teams
Focus on control, reliability, and governance.
- Human review and approvals
- Scheduling and monitoring
- Execution logs and audits
🧑💻 IT & Developers
Focus on integration and extensibility.
- APIs and webhooks
- Tooling and external systems
- Embedding Supervity into apps
Supervity lets teams delegate work to AI safely —
agents execute, humans govern, and systems stay observable.