Case Studies
Explore how we've helped businesses across industries achieve measurable results through intelligent automation.
Financial Reporting Automation for Regional Financial Service Provider
Challenge:
A regional financial service provider was spending 3 days each month manually compiling financial reports from multiple systems, leading to errors and delays.
Key Result:
Reduced reporting time from 3 days to 2 hours
AI-Powered Invoice Data Capture for Freight Claims
Challenge:
A National Freight Warranty & Claims Management Provider with an established digital claims management platform was seeking to leverage AI to eliminate the remaining manual touchpoints in their invoice processing workflow. Despite having a robust digital infrastructure processing over 50,000 invoices annually, their operations team identified invoice data extraction as the final bottleneck preventing largely automated claims intake. They needed an intelligent automation solution that could seamlessly integrate with their existing technology stack while maintaining their high standards for data accuracy and compliance.
Key Result:
Reduced manual processing time by 85%
Automation of Daily Cash Reconciliation for Hospital Parking Operations
Challenge:
An asset management company responsible for operating hospital parking facilities across multiple sites in Australia faced a highly manual and time-intensive daily cash reconciliation process. Each hospital required staff to extract parking transaction data, validate totals, and populate a detailed Daily Cash Reconciliation (DCR) statement, taking approximately three hours per day per hospital across multiple hospitals nationwide.
Key Result:
Reduced processing time by 90%
Automated Claims Experience Dashboard for a Life Insurance Company
Challenge:
A major life insurance company needed a more efficient and transparent way to monitor and analyse its claims experience. The existing process involved manual data extraction, cleaning, and spreadsheet manipulation to produce monthly reports.
Key Result:
Reduced processing time by 95%