The operating problem
High-volume manual order entry
Hundreds of users manually transcribed information from image-based orders. Each order took approximately five minutes to enter and still required customer-care verification.
Representative experience · Workflow automation
Reduce document-entry effort while keeping people in control.
A locally operated AI workflow extracted information from image-based orders and routed uncertain results through human verification.
- orders processed annually
- 60,000
- typical entry time
- 5 min → 30 sec
- hours saved per year
- ~7,500
The response
AI extraction with human verification
A locally hosted document-processing workflow extracted structured fields, surfaced uncertain results and retained a required user review step before information entered the operating process.
How the solution moved into operation
- Define the information
Map the required fields
Identified the information needed by downstream systems and separated consistent fields from ambiguous document content.
- Keep a checkpoint
Design review into the flow
Presented extracted values to users for verification rather than treating automation as an all-or-nothing decision.
- Integrate and measure
Change daily operations
Connected reviewed output to the existing order process and measured entry time across real operating volume.
Measured outcome
Five minutes reduced to approximately 30 seconds
Across roughly 60,000 annual orders, the workflow reduced typical entry time by approximately 90% and saved an estimated 7,500 staff hours per year.
Safeguards retained
Human review remained mandatory
Extraction accuracy was approximately 85%, so users remained responsible for reviewing results. The workflow operated locally and did not autonomously finalize orders.
This anonymized example reflects prior technology leadership and delivery experience informing Beacon’s consulting practice. Organization names, proprietary details and identifying information have been withheld.
Where is manual document handling slowing operations?
Start with one high-volume document flow, a clear review step and a measurable baseline.
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