Legacy Systems Modernization with AI at Honda Financial Services
Executive Summary
A Honda Serviços Financeiros (HSF) é a divisão responsável pelas soluções financeiras do Grupo Honda no Brasil, atendendo milhões de clientes com operações digitais complexas baseadas em múltiplos sistemas legados.
A HSF enfrentava o desafio de modernizar sua base tecnológica sem comprometer a estabilidade dos serviços. O projeto central era a migração de três sistemas legados críticos — Multimarcas, CNH e BHB — para uma nova plataforma unificada em Drupal, no modelo AS IS. Porém, a ausência de documentação e a alta dependência de especialistas bloqueavam o avanço do projeto.
A Squadra adotou uma estratégia inovadora baseada em Inteligência Artificial, utilizando o Genius para analisar, compreender e documentar automaticamente todo o código legado, desbloqueando o projeto e garantindo autonomia total à equipe.
O uso de IA permitiu documentar mais de 200 mil linhas de código em apenas 1 dia, reduzindo o tempo do projeto em 60% e o cronograma total em 50%, com um desbloqueio 30x mais rápido que o método tradicional.
The Challenge
HSF sought to modernize its technological base without compromising service stability. The central project was the migration of three critical legacy systems to a new unified platform. The technical scenario was highly challenging due to four main points:
Lack of documentation: The legacy systems (Multimarcas, CNH, and BHB) had no technical or functional documentation, making understanding the existing code extremely difficult and time-consuming.
Dependence on specialists: Knowledge of the systems was concentrated in a few Honda professionals, creating a critical bottleneck that prevented autonomous work continuity.
Integration complexity: Critical integrations, including AWS Kinesis, needed to be precisely mapped to avoid AS IS migration failures.
Legacy code volume: Over 200,000 lines of code distributed across three distinct systems, with different endpoints, business rules, and architectures that needed to be fully understood.
The Solution
Faced with the technical block caused by the lack of documentation and high dependence on specialists, Squadra adopted an innovative strategy based on Artificial Intelligence. The approach was structured in three complementary phases: Genius in action: Software archaeology with AI.
Genius in action: Intelligent PDTI with Rational Architecture
Phase 1 — Discovery: Automatic Analysis and Documentation
AI was used to perform deep analysis and automatic documentation of all legacy code from the three critical systems.
Automatic Analysis and Documentation: AI analyzed, understood, and automatically documented all legacy code, generating complete technical and functional documentation in just 1 day — work that would take months using the traditional method.
Architecture Mapping: The automatic documentation in Markdown included complete mapping of the architecture, endpoints, and business rules of the three systems.
Failure Prevention: Critical integrations, including AWS Kinesis, were precisely mapped, preventing migration failures.
Phase 2 — Knowledge Base and Virtual Specialist
With the generated documentation, Squadra structured a permanent knowledge base to ensure continuous team autonomy.
Virtual Specialist: AI acted as a
Results
The application of AI allowed regaining control of the project and eliminating operational bottlenecks, transforming a scenario of slowness into a flow of agile and predictable delivery. The automated documentation ensured greater quality and security in the system migration, reducing rework and strengthening the project's technical governance.
The result was an unblocked project, with greater team autonomy and added value for the client, who now has a permanent knowledge asset about their legacy systems. The combination of AI with human expertise unblocked the project 30 times faster than the traditional method, delivering exponential business value and positioning HSF for the next phase of its digital journey.
Metric | Result | Description |
|---|---|---|
Documentation Acceleration | 30x faster | What would take months was completed in just 1 day (200,000 lines of code documented). |
Project Unblocking | 100% unblocked | AI completely eliminated the dependence on specialists, allowing the team to resume progress. |
Time Reduction | 60% reduction | Project time was reduced from 5 to 2 months. |
Schedule Savings | 50% savings | The total schedule was reduced from 6 to 2 months. |
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