The project followed a structured and collaborative approach, integrating business and technology teams from BPS alongside Quanam specialists. From the outset, strategic objectives, prioritization criteria, and effectiveness metrics were aligned to ensure measurable impact.

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 taxpayers, identify behavioral patterns, and prioritize cases with higher probability of irregularities.

The solution was integrated with existing systems and complemented with dashboards and monitoring tools that enable continuous performance evaluation and strategy adjustment. The project included process definition, controlled testing, and knowledge transfer to ensure technical autonomy and long-term sustainability.

Implementation was carried out in phases, starting with the Enforcement area and later extending to Collections Management, consolidating a cross-functional analytics platform to support data-driven decision-making.