DigitalCore Evolution: The Path to an Event-Driven Operating Model
- Customer
- UP SíVale
- Project manager on the customer side
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- Year of project completion
- 2025
- Project timeline
- January, 2024 - December, 2025
- Project scope
- 250000 man-hours
- Goals
- The project’s goal is to revolutionize legacy operations by implementing a cutting-edge, event-driven architecture that enables real-time processing, agile integration, and scalable digital services. It seeks to accelerate product deployment, optimize operational efficiency, and deliver superior customer experiences through actionable insights. By combining advanced security, governance, and automation, this transition establishes a resilient, future-proof foundation that drives innovation, supports predictive analytics, and positions the platform as a leader in digital transformation within the financial and employee benefits ecosystem.
- Project Results
- Over the first two years, the project has successfully advanced UP SíVale toward a fully event-driven, scalable architecture without disrupting critical operations. Time-to-market for new products has already decreased by over 50%, while real-time monitoring and AI-driven anomaly detection have been deployed across 60% of core processes. Operational efficiency has improved through automated orchestration and microservices, reducing manual interventions and errors. The platform now supports rapid integration of new digital services, predictive analytics, and enhanced security measures. While the transformation is ongoing, these results have already significantly enhanced customer experience, agility, and resilience, establishing a b foundation for continued innovation in the digital employee benefits ecosystem.
The uniqueness of the project
This project stands out for its strategic combination of legacy preservation and event-driven modernization, enabling a seamless, low-risk transition to a next-generation digital platform. Unlike typical migrations, it integrates real-time processing, microservices, and advanced analytics while maintaining business continuity. Its hybrid architecture bridges traditional batch systems with agile, cloud-native services, creating a scalable, resilient, and secure ecosystem. By embedding AI-driven insights, predictive monitoring, and automated orchestration, the project transforms operational agility and customer experience, setting a benchmark for digital innovation in employee benefits and financial services.
- Used software
- The project leveraged a combination of cloud-native platforms, event-streaming technologies, and microservices frameworks. Key components included Apache Kafka for event streaming, Kubernetes for container orchestration, and GCP/Azure/OCI cloud services for scalable infrastructure. Databases included both relational (Oracle, PostgreSQL) and NoSQL systems, integrated through API gateways. For analytics and AI-driven monitoring, Python, Spark, and real-time dashboards were deployed. Security and governance were enforced using Zero Trust principles, advanced authentication, and cryptographic modules, while auxiliary systems included CI/CD pipelines, automated testing frameworks, and logging/monitoring tools to ensure resilience and operational excellence.
- Difficulty of implementation
- The project presented a high level of complexity due to the need to modernize legacy systems while ensuring uninterrupted operations for critical employee benefits services. Integrating batch-based processes with a real-time, event-driven architecture required careful orchestration, advanced API management, and robust security controls. The team faced challenges in scaling microservices, implementing AI-driven monitoring, and enforcing Zero Trust security without disrupting ongoing transactions. Change management and coordination across multiple stakeholders were essential to maintain continuity. Despite these challenges, the project successfully achieved measurable progress in the first two years, establishing a resilient and scalable foundation for full digital transformation.
- Project Description
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The UP SíVale Transformation Project represents a strategic leap from legacy batch-based processes to a modern, event-driven architecture that enables real-time processing, agile integration, and scalable digital services. The initiative addresses the dual challenge of maintaining continuity in critical employee benefits operations while introducing cutting-edge technologies that prepare the platform for future innovation.
The project follows a layered transition architecture:
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Legacy Integration Layer: Ensures business continuity by connecting existing systems through secure APIs and message queues, allowing gradual migration without service disruption.
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Event-Oriented Orchestration Layer: Introduces a microservices-based, event-driven architecture using technologies like Apache Kafka, Kubernetes, and API gateways. This layer enables asynchronous processing, real-time transaction monitoring, and rapid integration of new digital services.
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Digital and Cognitive Layer: Integrates AI-driven analytics, predictive monitoring, and fraud detection, supported by a combination of relational and NoSQL databases, Spark pipelines, and interactive dashboards. Security is enforced with Zero Trust principles, advanced authentication, and cryptographic modules, ensuring resilience and compliance with modern cybersecurity frameworks.
Key objectives include accelerating product deployment, optimizing operational efficiency, and enhancing customer experience by delivering actionable insights in real time. The architecture enables automated orchestration of workflows, reduces manual intervention, and allows the platform to respond dynamically to market demands.
Uniquely, the project combines legacy system preservation with full digital modernization, offering a hybrid solution that bridges traditional batch processing with real-time event-driven capabilities. This approach allows UP SíVale to retain existing operational reliability while positioning itself as a leader in digital employee benefits services.
The transition architecture is fully scalable and designed for continuous innovation. It provides a foundation for next-generation financial products, predictive analytics, and hyper-personalized customer experiences. Key auxiliary systems, including CI/CD pipelines, automated testing, and monitoring frameworks, ensure rapid iteration, operational resilience, and minimal downtime.
The project has measurable impact: time-to-market for new services decreased by over 50%, real-time monitoring and anomaly detection were introduced across 60% of critical processes, and operational agility improved dramatically, enabling the organization to respond rapidly to changing market demands.
This initiative exemplifies a balanced, high-impact digital transformation, combining technological innovation, operational excellence, and customer-centric design, establishing a new benchmark for secure, scalable, and intelligent platforms in the employee benefits ecosystem.
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- Project geography
- The project is implemented nationwide across Mexico, supporting all operational centers and digital services of the employee benefits platform. Its architecture enables centralized management with distributed access, ensuring consistent performance, security, and reliability across multiple regions. By leveraging cloud infrastructure and scalable microservices, the platform can serve thousands of clients and millions of end-users simultaneously, while maintaining real-time processing and monitoring. This geographical scope ensures that digital transformation benefits are delivered uniformly and efficiently to all stakeholders, establishing a foundation for future expansion and innovation.