## 5 Case Study
### Application of the Framework to the Case Study  
The implementation of FRIDA in the case study of the financial services company, specialized in processing credit applications for small and medium-sized enterprises (SMEs), aimed to optimize the automation lifecycle, from initial analysis to the continuous maintenance of the automated system. The detailed application of FRIDA across the phases of the RPA lifecycle will be described, with an emphasis on the improvements achieved in terms of efficiency, error reduction, and scalability, based on the established requirements and practices. * Phase 1: Analysis  
The analysis phase, which aimed to identify automation opportunities and assess the feasibility of processes to be automated, began with a thorough assessment of the manual operations carried out by the company's team. The analysis process was guided by FRIDA criteria, focusing on identifying repetitive, time-consuming, and error-prone tasks, such as manual data entry and document validation. To this end, a detailed review of each step in the credit application processing procedure was carried out, from receipt to final validation. The analysis revealed that data entry was one of the main sources of inefficiency, with each application taking an average of two hours to process. Additionally, the high error rate of approximately 8%, stemming from inconsistencies in manually entered data, was identified as a critical factor affecting both regulatory compliance and customer satisfaction. Based on this evaluation, the goal was to automate the tasks of data entry and document validation, reducing processing time and human errors. Furthermore, the assessment of process complexity and the technical and economic feasibility of automation also helped identify the necessary integrations with the company'slegacy systems, such as customer management software and financial compliance verification systems. The creation of return on investment (ROI) indicators was essential to justify the implementation of automation, demonstrating that error reduction and increased efficiency would bring clear financial benefits in both the short and long term. Phase 2: Requirement Gathering  
In the requirement gathering phase, close collaboration with the company's stakeholders was undertaken to define the detailed specifications of the processes to be automated. The use of FRIDA ensured that all requirements were aligned with business needs, considering both operational and regulatory demands. It was specified that the data entry process should be automated to ensure the accuracy and consistency of information, with particular attention to interactions with external systems, such as customer databases and document validation systems. Automation should also ensure that security requirements and compliance with financial standards are met, while also ensuring the scalability necessary to accommodate the company's growth. In addition, the requirement gathering phase involved defining performance criteria, such as the maximum processing time per application, as well as the need for an intuitive user interface for monitoring and manual intervention when necessary. Version control practices for scripts and assets, aligned with the framework, ensured that changes were managed and that automation could be easily updated as new requirements or improvements arose. Phase 3: Design-Project Development  
The design phase was the stage where the automation solution was effectively conceived and developed. Using the principles of the FRIDA, the RPA team created a modular and scalable architecture for the automation robot, with the aim of ensuring that the solution was robust and easily adaptable to future changes. The architecture was designed seamless integration with the company's existing systems, such as the CRM and compliance verification systems, without disrupting the daily workflow.