The project was approached through a structured and collaborative framework, integrating business and technology teams from BPS together with Quanam specialists. From the outset, strategic objectives, prioritization criteria, and effectiveness metrics were aligned to ensure measurable impact on management performance.

An integrated data architecture was designed to consolidate multiple internal and external sources into a unified repository, ensuring consistency, traceability, and scalability. On this foundation, analytical and predictive models were developed to classify contributors, identify behavioral patterns, and prioritize cases with the highest probability of irregularities.

The solution was integrated with existing systems, incorporating dashboards and monitoring tools that enable continuous performance evaluation and strategy adjustments. The project included process definition, controlled testing, and knowledge transfer, ensuring technical autonomy and sustainable evolution over time.