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The architecture is designed around a single principle:
AI must operate as infrastructure—secure, scoped, and auditable—just like any other critical system inside an organization.
To achieve this, the platform is built as a layered system where data ingestion, AI reasoning, access control, and execution are clearly separated and tightly coordinated.

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Architectural Layers

At a high level, the platform is composed of the following layers:
  1. Identity & Access Layer
  2. Organization, Project & Environment Isolation
  3. Data Ingestion & Pipeline Layer
  4. AI Template Layer
  5. Automation Layer
  6. Conversation & Context Management
  7. Execution & Task Orchestration
  8. Integrations & External Systems​
  9. Observability & Control
​ Each layer has a defined responsibility and enforces strict boundaries between data, permissions, and execution.