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:

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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.

  1. Human defines intent

    β€œProcess expenses, but require approval above $1,000.”

  2. Agent plans the job

    • extract expense data
    • evaluate amount
    • route for approval if required
  3. Workflow executes

    • runs steps deterministically
    • applies conditional logic
    • pauses during review
  4. Human approves or rejects

  5. Agent resumes execution

  6. 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


Supervity is not just automation.
It is a controlled delegation system for AI-powered operations.

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product-guide/platform-overview