> For the complete documentation index, see [llms.txt](https://docs.amigo.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.amigo.ai/data.md).

# Data

- [World Model](https://docs.amigo.ai/data/world-model.md): Event-sourced data layer that accepts supported healthcare inputs, preserves provenance and confidence, and projects current entity state.
- [Connectors and EHR](https://docs.amigo.ai/data/connectors-and-ehr.md): Data pipelines that ingest supported healthcare sources and deliver eligible world-model events to configured external destinations.
- [Customer Data Intake](https://docs.amigo.ai/data/customer-data-intake.md): Workspace-scoped dataset ingestion and token-based file collection, with separate storage, processing, security, and rollout boundaries for each path.
- [Workspaces](https://docs.amigo.ai/data/workspaces.md): Tenant isolation boundaries with separate world models, data sources, voice configs, and role-based access control.
- [Review Queue](https://docs.amigo.ai/data/review-queue.md): Human approval workflow for proposed writes to external clinical systems, with explicit decisions, delivery status, and audit history.
- [Data Access (MCP)](https://docs.amigo.ai/data/data-mcp.md): Standalone MCP service for read-only SQL exploration using Classic API organization credentials.


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