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Architecture overview

Ordify AI is designed to help you build and organize AI agents at scale. To understand how the platform works, it's helpful to look at it from two perspectives: the native platform structure and a familiar "org chart" analogy.

1. Platform structure​

In Ordify, everything is organized around the Agent. Other components either make an agent more capable or help you organize agents into teams.

Core concepts​

  • Agents: The AI workers that perform tasks and have conversations.
  • Departments: High-level groups that organize related jobs and agents (e.g., Sales, Support).
  • Head of Department: A lead agent assigned to a department who automatically has access to all its jobs.
  • Jobs: Repeatable workflows or goals that are broken down into specific tasks.
  • Tasks: The individual steps within a job, each handled by an agent.
  • Tools: Apps and actions (like Gmail, Slack, or a CRM) that agents use to get work done.
  • Knowledge: The documents and business context (like your ICP or company policies) that agents use to make decisions.

How it fits together​

This diagram shows the vertical hierarchy of the platform, from the organization level down to the specific tools an agent uses:

2. The "Org Chart" analogy​

If the platform terms feel technical, think of Ordify as an Org Chart for AI. In this mental model, you aren't just "talking to a chatbot"—you are managing a digital department.

The AI Organization​

This is the same structure, but framed as a traditional company hierarchy with multiple departments and specific roles:

Which model should you use?​

  • Use the Platform Model when you are building: configuring agents, connecting tools, and setting up RAG (Knowledge).
  • Use the Org Analogy when you are planning: deciding which departments to create and how to automate complex business workflows.

By thinking of your agents as a coordinated team, you can build systems that don't just chat, but actually run your business processes autonomously.