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AI Automation·2024
Automating manual order-entry work
Automated a manual order-entry and document-processing workflow that was consuming several hours of staff time daily.
Client: [Client name]
The problem
[Placeholder] Staff were manually reading incoming order documents and typing the data into the client's internal system — a slow, error-prone process repeated dozens of times a day.
What we built
[Placeholder] We built an automated pipeline that extracts data from incoming documents, validates it, and enters it directly into their system, with a human review step for anything flagged as uncertain.
The result
[Placeholder — replace with a real, specific metric] Manual data entry time dropped by the majority of what it was, with staff now only reviewing flagged exceptions instead of every order.