How Sicoob UniCentro Br Reduced Reimbursement Time by 60% with Intelligent Python Automation
A partnership with BotCity cut reimbursement time by 60%, achieved 100% accuracy, and brought significant savings through intelligent Python automation.
Learn moreReduction in daily reimbursement time (from 8 hours to 3 hours).
Accuracy achieved, eliminating human errors.
Reimbursements processed automatically per day.
Reduction in the time for the entire process execution.
With over 25 years of experience, Sicoob UniCentro Br is reshaping financial services with innovation and cooperative principles.
Since 1992, it has enhanced the financial experience of over 108,850 members, offering innovative, accessible, and member-focused solutions. As one of Brazil’s largest credit cooperatives, it provides exclusive advantages over traditional banks, including profit sharing, reduced fees, personalized service, and financial education. Guided by cooperative principles, Sicoob UniCentro Br promotes inclusion, efficiency, and modernization, strengthening trust with its members and generating community-wide benefits.
Automated Processes
Reimbursement data capture
Automatic entries into the Sisbr system
Payment consolidation
Overcoming Manual Process Limitations
The reimbursement process at Sicoob UniCentro Br was fully manual and reliant on the Sisbr system, which lacked API integration. Daily, one dedicated employee processed 50-60 reimbursements, taking approximately 8 hours.
This workflow involved analysis, approval, manual entries, and payment reconciliation, which:
- Limited productivity.
- Overburdened the team.
- Introduced operational errors.
The solution: Intelligent Python Automation
Using Python-based Intelligent Automation and BotCity’s platform, Sicoob UniCentro Br developed a solution to:
- Capture reimbursement data directly from the VExpenses API.
- Automatically make entries in the Sisbr system.
- Consolidate payments in Sisbr and update VExpenses with the results.
- Orchestrate every step of the process, including scheduling and execution, both on-cloud and on-premises.
This approach eliminated manual interventions, ensuring efficiency and seamless system integration.
Outcomes
Significant Results Achieved with Automation
- Processing Time Reduction: Daily reimbursement tasks, previously requiring 8 hours, now take just 3 hours—a 60% reduction. This freed up staff for more strategic tasks.
- Precision and Reliability: Processes now achieve 100% accuracy, eliminating human errors and minimizing rework.
- Human Resource Optimization: Two employees were reassigned to higher-value operational roles.
- Scalability: The solution enables increased reimbursement volume without additional labor costs, thanks to automated orchestration.
- Cost Savings on Licensing: Opting for Python automation with BotCity removed the need for low-code tools, significantly reducing operational expenses.
- Financial Impact: Initial estimates project substantial annual savings from reduced work hours and licensing costs.
Future Plans
The success of Python-based automation in the reimbursement process has opened the door for Sicoob UniCentro Br to explore other critical areas, such as automating member data updates and operational workflows.
Plans include:
- Expanding RPA solutions in Python.
- Further modernizing operations to achieve widespread digital transformation.
Ricardo Brás
IT Manager - Digital Transformation, Sicoob UniCentro Br
