You don’t just want to extract data from documents—you want to act on it. Tensorlake makes it easy to route documents based on field values, missing data, or classification outcomes, using its built-in orchestration layer or external triggers.

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Why This Matters

  • Manual review adds friction and delay
  • Rules for routing often depend on fields buried inside documents
  • LLM-based tools lack reliable logic enforcement

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How Tensorlake Helps

  • Define rules around schema fields (e.g., signature status, buyer/seller roles)
  • Route docs based on form values, chunk content, or page classification
  • Trigger workflows via webhooks, Slack alerts, or LangGraph agents
  • Run scheduled refreshes to re-process stale docs

Want help wiring routing into your backend? Join our Slack Community.