CITTA Brokerage deploys Reform to save 1,600 hours per month on duty drawback processing
CITTA Brokerage's import input workflow required processing thousands of pages of non-standardized PDFs and spreadsheets, with turnaround times dragging from weeks to months. As the company grew, outsourcing failed on quality and in-house manual entry could not scale, leaving the workflow as their single biggest bottleneck.
Outsourcing failed due to quality issues, and previous providers offered only static dashboards or slow service that required constant retraining on duty drawback data.
CITTA eliminated manual data entry and saved more than 1,600 hours per month, with processing time dropping from weeks to minutes and the system now handling 5,000+ pages of PDFs simultaneously.
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Frequently asked questions
What did this team achieve with this AI workflow?
CITTA eliminated manual data entry and saved more than 1,600 hours per month, with processing time dropping from weeks to minutes and the system now handling 5,000+ pages of PDFs simultaneously.
What tools did this team use?
Reform.
What results were reported?
Hours saved per month: more than 1,600 hours per month; Efficiency gain: 10x; New workflow automation setup time: 20-30 minutes; Pages processed simultaneously: 5,000+ (source-reported, not independently verified).
What failed first in this deployment?
Outsourcing failed due to quality issues, and previous providers offered only static dashboards or slow service that required constant retraining on duty drawback data.
How is this data entry ops AI workflow structured?
Import documents submitted → AI data extraction → Post-extraction processing → Results returned in minutes.