Case Jira Service Management – Speeding up Internal Processes
Prime Control’s successful adoption of Jira Service Management this year streamlined HR and Controllership Departments’ operations, centralizing requests, improving efficiency, and leveraging automation and integration. As an Atlassian partner, Prime Control can help your organization implement this versatile solution for enhanced agility and results.
Case RPA – Automation of Property Tax – Property Tax (IPTU) payment for a construction company
A Brazilian construction company implemented RPA to streamline monthly Property Tax payment requests. The RPA robot integrated with SAP and Excel, overcame challenges, and reduced processing time significantly. This efficiency improvement allowed analysts to focus on higher-value tasks.
RPA case – Automation of reimbursement approval for an insurance company
A national health insurance provider tackled a bottleneck in their accounts payable by replacing a slow, partially automated claims review process with a faster, end-to-end robot using the Robot Framework and Python. Processing time improved from over 4 minutes to just over 1 minute.
RPA Case – Accounting Industry Startup
A Curitiba-based accounting startup faced the manual burden of performing Revenue Service consultations for new company registrations. Prime Control’s solution involved developing a robot to automate the process, checking companies’ status, and updating systems accordingly. This routine, conducted twice daily, improved response times for status changes, estimated to achieve a 60% processing time gain along with enhanced customer response times.
Case RPA – Tuition Materials and Education Systems Company
A Curitiba-based education system provider faced the time-consuming challenge of manually matching 29,000 students’ Tax IDs with SEFAZ data for annual MEC research. Prime Control’s solution involved developing a robot that seamlessly performed this task using APIs. This 100% automated process, completed in under 12 hours, eliminated errors, generated substantial time and cost savings, and ensured accurate data matching.