AI Agents
Revolutionizing Code Transition in Banking
80% faster legacy-to-modern code transition sets new benchmark in software development.
Legacy migrations in large banks take years. Globant's AI technology cuts this to one third, future-proofing and giving it new competitive advantage.
Globant leverages AI Agents to transition from any legacy language - as COBOL- to any target one - as Java - understanding business needs, creating service prototypes, accelerated development, and upholding security and quality standards.
Re-architecture powered by AI Agents
1. Analysis
We use AI to thoroughly examine legacy systems, focusing on code metadata, dependencies, and business rules. This provides a comprehensive understanding of the system's architecture and structure, setting the stage for an effective modernization.
2. Document
In less than 24 hours, we generate natural language descriptions of functional specifications and technical designs. This technology-agnostic brief captures the essential knowledge embedded in legacy source code, serving as a universal reference for translating the system into any programming language.
3. Service Prototyping
By leveraging our AI Agents, we ingest generated documentation to prototype service source code, significantly accelerating the development process. This approach enables us to speed up source code creation by over 80% compared to manual methods, saving substantial time and effort.
4. Develop
Service prototypes are imported into an accelerated IDE, where AI generates both frontend and backend code, defines data access strategies, and creates unit tests. This integration streamlines workflows and significantly boosts productivity.
5. Deploy
We automate the deployment of services on the target platform by implementing a robust CI/CD pipeline. By automating these steps, we enhance deployment accuracy, reduce time-to-market, and maintain high standards of quality and reliability.
6. Test
We perform test cases, regression tests, and UI testing to ensure the software's functionality, stability, and user experience meet quality standards. This phase helps catch bugs early and guarantees a smooth, reliable product for users.
We rearchitected over 11,600 lines of COBOL code in just 105 hours, compared to 560 hours with traditional methods—an efficiency boost of +80%.
Decades of deep global technology expertise in transforming industries, pioneering new digital experiences and reinventing enterprise platform performance.
Digital Innovations in Banking. Entertainment. Commerce. Healthcare. Travel. You name it, Globant’s consulting and technology teams are probably behind it — deploying deep expertise to propel the businesses that shape the world.
