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CASE STUDY / FINANCIAL SERVICES

Document Processing Automation

Connected document intake, field extraction, human review, and approval routing. The published case reports processing time under 4 hours, down from an average of 72 hours.

500+docs/month
94%first-pass field extraction accuracy
<4 hoursprocessing time, down from 72 hours

Published client results. Outcomes vary by workflow and operation.

What these results measure

94% is first-pass field extraction accuracy, with low-confidence results sent for human review. Average processing time fell from 72 hours (described as 3 days in the article) to under 4 hours. The source describes over 500 invoices and contracts monthly and separately summarizes 500+ documents. It also reports zero late-payment penalties since deployment, but does not specify how long that period lasted or provide the accuracy measurement method.

Source: the published Solved Systems case study. Results are specific to that client’s operation.

HOW THE WORK MOVES

Inside the workflow.

A simplified explanation of the published build, not a client interface.

  1. 01

    Capture

    Classify the document arriving by email.

  2. 02

    Extract & review

    Extract fields and send low-confidence values for human review.

  3. 03

    Approve

    Route the document to the appropriate approver.

Document Processing Automation conceptual illustration
Conceptual illustration. The workflow and results are described below.

The Challenge

A financial services firm processed over 500 invoices and contracts per month. Each document arrived via email, was manually reviewed by a team member, had key data points extracted and entered into their accounting system, then was routed to the appropriate approver. The entire process took an average of 72 hours per document.

During peak periods, the backlog grew to over a week. Late payments incurred penalties. Contracts sat unsigned. And the processing team was stretched thin, leading to extraction errors that created downstream accounting issues.

Our Approach

We built an end-to-end document processing pipeline that handles the entire workflow from intake to approval:

  • Intelligent Intake: Documents arriving via email are automatically classified (invoice, contract, purchase order, etc.) and queued for processing. No manual sorting required.
  • AI Data Extraction: Custom-trained models extract key fields (vendor name, amounts, dates, line items, contract terms) with 94% accuracy on first pass.
  • Smart Routing: Based on document type, amount, and vendor, documents are automatically routed to the correct approver with pre-populated approval forms.
  • Exception Handling: Low-confidence extractions are flagged for human review with the AI's best guess pre-filled, turning a 10-minute manual task into a 30-second verification.

The Technology

The system uses Azure AI Document Intelligence for OCR and field extraction, with custom fine-tuned models for the client's specific document formats. The workflow engine runs on Azure Logic Apps with custom connectors to their accounting platform. All data is encrypted in transit and at rest.

Results

  • 500+ documents processed monthly: With no increase in staff
  • 94% extraction accuracy: On first pass, with human review catching the remaining 6%
  • 72-hour delays eliminated: Average processing time dropped from 3 days to under 4 hours
  • Zero late payment penalties: Since deployment, the firm has not incurred a single late payment fee

What This Means

Document processing is one of the highest-ROI automation opportunities in financial services. The combination of AI extraction and intelligent routing transforms a labor-intensive bottleneck into a streamlined, near-real-time process.

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