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Data Processing Flow

Antei transforms unstructured financial and operational data from external systems into validated, compliance-ready records using a structured and secure processing pipeline. This page outlines how ingestion, extraction, mapping, classification, validation, and storage work together.

Overview of the Flow

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1. Data Ingestion

Raw data is pulled via integrations (e.g., Stripe, QuickBooks) using scheduled syncs, webhooks, or on-demand jobs. CSV imports are also supported.
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2. Extraction Workers

Cloudflare Workers standardize and transform raw payloads into structured entities (invoices, transactions, contacts, etc.) with metadata.
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3. Mapping & Enrichment

Extracted data is mapped to Antei’s internal schema using registry-driven logic. Classification metadata is attached at the field level.
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4. Validation Engine

Each entity is validated for schema completeness, reference links (e.g., contact β†’ transaction), and duplication. Unprocessed records are flagged.
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5. Unprocessed Item Handling

Incomplete or unmatched records are moved to the unprocessed queue. Users can review, complete, or override values through manual intervention.
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6. Structured Storage

Clean, normalized data is written to the system of record with classification and retention rules applied automatically.

Architecture Snapshot

πŸ“Œ Visual architecture coming soon β€” this will illustrate how ingestion, workers, and validation modules interact with Xano, Cloudflare, and storage layers.

Key Guarantees

  • βœ… All data is encrypted in transit and at rest
  • βœ… No external data is written back to source systems
  • βœ… Every step is logged and auditable
  • βœ… Each entity is tied to an extracted_id and payload_id for traceability

Example Record Lifecycle


See Also


Questions?

If you have questions about how Antei processes and secures your data: