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Finding supported a banking client in the accelerated validation of 70 critical APIs associated with a decision engine, a key component for processing business rules. An automation strategy was implemented that enabled the structuring and execution of over 3,000 positive, negative, and data validation test scenarios. As a result, Finding completed coverage of the 70 APIs in one-tenth of the estimated time using a traditional methodology, recovering the project timeline and delivering traceable and reliable results for decision-making.
Finding participated in an ERP migration project, supporting the preparation of functional users by transforming nearly 300 hours of training into practical inputs for testing. Using AI-powered automation, training videos and content were analyzed to identify the relevant flows, steps, validations, data, and scenarios for each module. As a result, more than 200 test maps were generated in just a few days, accelerating the preparation of functional validations and facilitating user adoption of the new system.
Finding supported a client in the Peruvian banking sector in automating extensive processes within a human resource management platform. These processes included registration, information updates, form validation, reporting, and document generation. The challenge was to automate highly complex workflows with more than 800 test steps, overcoming the limitations of a previous approach that only allowed for the automation of approximately 50 steps. As a result, entire critical processes were automated, manual effort was reduced, test reliability was increased, and the engineering team was able to focus on higher-value business activities.
At a healthcare clinic, testing was automated for a critical platform used for managing patients, room occupancy, medical supplies, admissions, discharges, authorizations, and administrative processes. The strategy enabled the validation of complete clinical workflows, reduced reliance on manual testing, and comprehensively covered the system's most sensitive modules. As a result, the clinic increased the reliability of its releases, detected failures early, and strengthened the operational continuity of a platform highly dependent on its daily operations.