Platform Overview
How Supervity works β core concepts, execution model, and governance
Supervity is an agentic operations platform that allows teams to delegate work to AI while keeping humans firmly in control.
This page explains:
- the core building blocks of the platform
- how work is planned, executed, and governed
- how humans, agents, and tools interact as a system
Every role in Supervity β business, ops, admin, or developer β operates on the same underlying model.
The Supervity Mental Model
At a high level, work in Supervity flows through four layers:
Each layer has a clear responsibility and boundary.
Core Building Blocks
Humans (Intent & Authority)
Humans define:
- what outcome is desired
- which actions require approval
- which systems agents may access
- escalation and override rules
Humans do not micro-manage execution, but they retain authority at all critical decision points.
Agents / Operators (Planning & Orchestration)
Agents are AI-powered operators responsible for:
- understanding human intent
- reasoning about how work should be done
- planning multi-step execution
- deciding when to request human input
- resuming work after approvals
Agents do not blindly automate tasks.
They plan, validate, and adapt within defined policies.
β Deep dive: Understanding Agents
Jobs & Workflows (Execution)
A job is a single execution of work initiated by an agent.
A workflow is the executable structure that defines how that job runs.
Workflows define:
- step order and dependencies
- parallel vs sequential execution
- conditional branching
- retries, timeouts, and fallbacks
Key properties:
- deterministic execution
- visual and inspectable
- fully auditable
- reusable across runs
Agents plan work.
Jobs execute that plan through workflows.
β Deep dive: Workflows Explained
Auto Apps (Packaged Capabilities)
An auto app is a packaged operational capability that combines:
- workflows
- tools and integrations
- policies and approvals
- execution rules
Auto apps allow agents to perform real-world work safely and consistently.
They are the unit through which operational intelligence is reused and scaled.
Tools & Integrations (Action Layer)
Tools are capabilities agents are allowed to use during execution.
They include:
- built-in integrations (email, crm, chat, storage)
- external APIs
- internal systems
- custom registered tools
Agents decide when to use a tool.
The platform governs how the tool is accessed and audited.
β Deep dive: Integrations Overview
Human-in-Command (Governance Layer)
Human-in-Command ensures AI autonomy remains controlled.
It enables:
- approvals and rejections
- manual inputs
- decision overrides
- escalation paths
- timeout handling
When a human review step is reached:
- the job pauses safely
- context is preserved
- execution resumes only after a decision
β Deep dive: Human Review & Approvals
How Everything Works Together
Example: Expense Approval Automation
Goal: Automate expense processing with manager oversight.
-
Human defines intent
βProcess expenses, but require approval above $1,000.β
-
Agent plans the job
- extract expense data
- evaluate amount
- route for approval if required
-
Workflow executes
- runs steps deterministically
- applies conditional logic
- pauses during review
-
Human approves or rejects
-
Agent resumes execution
-
Tools process reimbursement and notify stakeholders
This pattern applies to all use cases, regardless of role.
Execution Modes
Jobs can be triggered via:
- Manual runs (UI)
- Schedules (time-based)
- Webhooks (event-driven)
- APIs (programmatic)
This allows Supervity to function as both:
- a user-facing automation platform
- a backend execution engine
β Learn more: Scheduling & Automation
Roles & Access Control
Supervity uses role-based access control to enforce governance:
-
Admins
Configure permissions, tools, and policies -
Editors
Create and modify agents and workflows -
Runners
Execute jobs -
Viewers
Observe runs and logs
All actions are logged and auditable.
Observability & Control
Every job execution provides:
- real-time status
- step-level logs
- input and output visibility
- failure context
- retry and timeout history
Agents are inspectable systems, not black boxes.
Platform Navigation
Key Areas
Chat
- define intent
- interact with agents
- iterate on plans
My Agents
- saved agents and auto apps
- execution history
- versioning
Schedule
- time-based automation
- pause and resume
- upcoming runs
Human Review
- pending approvals
- review history
- delegation
Integrations
- connect services
- manage credentials
- audit access
Who This Platform Is For
Business Teams
- delegate operational work
- retain control via approvals
Operations & IT
- standardize execution
- enforce governance and reliability
Developers & Platform Teams
- trigger agents programmatically
- extend capabilities via tools
- embed Supervity into products
Where to Go Next
- How agents reason β Understanding Agents
- How execution works β Workflows Explained
- How automation runs β Scheduling & Automation
- How to integrate β API Reference
Supervity is not just automation.
It is a controlled delegation system for AI-powered operations.