Example System

Document Processing System

Incoming documents require manual reading and re-entry, and the details that matter get buried or mistyped.

Overview

Wirestaq builds document processing that reads incoming files, extracts the fields the business needs, flags what is unclear, and moves verified data into the systems that use it.

The problem

Why the current way does not scale.

Emails, PDFs, and scanned forms arrive constantly. Someone reads each one, pulls out the important fields, and types them into another system. This is slow, error-prone, and hard to audit. Unusual or ambiguous documents need a human, but the routine work does not.

The current fragmented workflow

  • Documents arrive across email and uploads
  • Key fields are read and retyped by hand
  • Ambiguous entries require someone to guess or ask
  • There is little or no audit trail of what was captured

The approach

What the system does.

Automate the routine extraction, surface uncertainty for human review, and write the result into the systems that need it.

Step 01

Document received

Files are ingested from email or an upload point.

Step 02

Fields extracted

The details the business needs are pulled from the document.

Step 03

Uncertainty flagged

Anything unclear is sent for quick human review.

Step 04

Data written

Verified information flows into the connected systems.

Connected

Tools and systems involved.

Controls

Human approvals and exceptions.

  • Ambiguous, sensitive, or high-stakes documents are reviewed by a person before being committed.

Outcome

Expected operational benefits.

  • Removes the most repetitive, error-prone typing
  • Speeds up document-driven processes
  • Keeps an audit trail of what was captured and reviewed
  • Frees people for judgment rather than transcription

See it in action

Demo and next steps.

A working example is the clearest way to judge whether a system fits your operation.