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SparkFire
Case study · Financial Services

Document Processing Automation

Production document extraction and routing system processing high-volume financial paperwork with straight-through automation and human-in-the-loop review for the long tail.

Document AIRAGManaged Services
99.2%

Extraction accuracy

82%

Straight-through processing

4hr → 6min

Cycle time per file

Challenge

A six-person ops team was clearing a multi-thousand-document backlog by hand each week. Manual classification, extraction, and re-keying made errors invisible and cycle times unpredictable.

Approach

  • Multi-model OCR + LLM extraction with field-level confidence scoring.
  • Routing layer that auto-clears high-confidence documents and queues the rest for targeted human review.
  • Audit trail capturing every field, every model decision, every reviewer action — exportable per regulator request.
  • Managed services on top: monitoring, model drift detection, and quarterly accuracy reviews.

Outcome

82% of documents now flow straight through with 99.2% extraction accuracy. The ops team handles 4× the daily volume without adding headcount, and average cycle time dropped from 4 hours to 6 minutes.

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