# Case studies Discover how we've helped our clients transform their businesses through technology and innovation. ## Estadísticas - **Years creating solutions for America and Europe** - **Companies, organizations and startups** - **Projects in diverse industries** ## Sectores Trabajamos con empresas en: - **INSURANCE:** Transformación digital del sector - **BANKING:** Transformación digital del sector - **ENERGY:** Transformación digital del sector - **TELCO:** Transformación digital del sector - **HEALTH:** Transformación digital del sector - **EDUCATION:** Transformación digital del sector - **ENTERTAINMENT:** Transformación digital del sector - **CONSTRUCTION:** Transformación digital del sector ## Enfoque Cada proyecto es único. Trabajamos estrechamente con nuestros clientes para entender sus desafíos específicos y desarrollar soluciones personalizadas que impulsen su negocio. ## Resultados Nuestros casos de estudio demuestran: - Reducción de tiempo de desarrollo - Mejora en la calidad del código - Sistemas más escalables y mantenibles - Mejor experiencia de usuario - Aumento en la eficiencia operativa ## Casos de Estudio A continuación se presentan los casos de estudio más relevantes: ### Otros Casos de Estudio #### [Omni-Channel Experiences to improve collaboration with partners and end users](https://ingenia.la/en/case-studies/4) **Cliente:** galicia Banco Galicia required a technological solution that supported collaboration with partners and omnicanality. **Industria:** Banking | **Año:** 2025 | **Región:** Argentina | **Empleados:** +5500 employees **Tecnologías:** OpenAPI_Pantone (1).png, openshift.png, opentelemetry.png, spring-boot.png **Desafío:** Banco Galicia required a technological solution that supported collaboration with partners and omnicanality. Given modern daily life, omnicanality has become increasingly vital. Clients interact with their bank under diverse circumstances and through various channels, which can generate friction points if the delivery is not familiar across all contacts. Since pandemic, omnicanality has become a key factor in maintaining functional and efficient operations. **Solución:** We did a business engineering assessment, designed the architectures and implemented the omni-channel APIs, superapps and microfrontends solutions along with the design of SRE practices. **Implementación:** 1. Diagnosis of the current situation (AS-IS) and definition of the architecture TO-BE. 2. Roadmap to transform Microservices and Microfrontends, together with API Management strategies. 3. Guiding the implementation, developing Crosscutting Concerns components on Kubernetes / Red Hat, OpenShift, React, Node.js and ELK. 4. Establishing an SRE Operating Model that enabled an IasCode and CI/CD as a service approach for dozens of development teams and for Observability models. **Testimonio:** > "The Ingenia team was key to the process. In a very short matter of time, we improved the digital experience of the bank’s clients, unifying our services through an Omni-Channel platform." > — Adrián Felicitato, Architect Manager – Channels and Integration [Ver detalle completo del caso](https://ingenia.la/en/case-studies/4) --- #### [API Governance](https://ingenia.la/en/case-studies/5) **Cliente:** icbc We worked on the definition of an API governance model focused on the security and agility of the exposed capabilities. **Industria:** Banking | **Año:** 2025 | **Región:** +40 countries | **Empleados:** +430.000 employees **Desafío:** ICBC needed to add agility to the relationship with its customers and partners on digital platforms. One of the initiatives was to create an ecosystem of collaboration with others based on what the bank would expose as APIs. The challenge was to adopt API lifecycle management practices, create new roles and responsibilities, and ensure technology support for implementation. **Solución:** With that objective, we worked on the definition of an API governance model focused on the security and agility of the exposed capabilities. **Implementación:** 1. Creation of an API governance model defining the people, establishing the processes and identifying the tools. 2. Accompaniment in the initial adoption of the governance model and in the evaluation of the support tools of the API life cycle. **Testimonio:** > "The work we did with Ingenia allowed to open ourselves to an ecosystem of value generation with others in a safe way as a lever for new business models" > — Hernán Suarez, Head of IT Development of Digital Products [Ver detalle completo del caso](https://ingenia.la/en/case-studies/5) --- #### [Accelerating a Digital Transformation](https://ingenia.la/en/case-studies/1) **Cliente:** santander With a new CTO, we integrated challenges and capabilities, driving team evolution, professional development, and leadership. We supported C-Levels through the transformation. **Industria:** Banking | **Año:** 2025 | **Región:** Europe & America | **Empleados:** +120000 employees **Tecnologías:** ansible 84.png, apigee.png, OpenAPI_Pantone (1).png, openshift.png **Desafío:** Santander is undergoing a transformation process to incorporate capabilities that will improve the experience of both its end and internal customers, through profound changes in its technology equipment, software solutions, data, infrastructure and the way in which they are created, maintained and evolve. Approaching such changes requires an IT Architecture area that includes all the knowledge expertise on the subject and that has the maturity, practices and methods to achieve this transformation and lead with a medium and long term vision. **Solución:** We worked with the Santander team on various initiatives that enabled them to rely on accelerators based on Ingenia’s experience, knowledge and work approaches. Creation, maintenance and evolution of projects so as to provide support to the Technology and Architecture Department. We helped to meet the objectives for profound changes to its software solutions. **Implementación:** 1. Diagnosis and Architecture TO BE. 2. Definition of Operating Models for DevSecOps and API Governance. 3. Definition of Solution Architectures for: 4. Participated in the technical adoption, definition, monitoring and advisory activities. **Testimonio:** > "We needed to quickly transform the Bank, to move fast and rely on the know-how of the Ingenials for the definitions and advice. Having an efficient IT architecture is fundamental in our business" > — Alexis Superí, Head of Enterprise Architecture [Ver detalle completo del caso](https://ingenia.la/en/case-studies/1) --- #### [Starting up a digital bank](https://ingenia.la/en/case-studies/7) **Cliente:** bancodelsol We created the Digital Architecture and Development team and selected its cloud Core Banking to enable an Agile at Scale work model which allows the existence of autonomous cells per financial product. **Industria:** Bank | **Año:** 2025 | **Región:** Argentina | **Empleados:** 1.800.000 clients **Desafío:** Banco de Sol had the objective of achieving a new 100% digital experience and the possibility of offering a transactional banking core via APIs that could be integrated with third parties. **Solución:** We created the Digital Architecture and Development team and selected its Core Banking in the cloud to enable an Agile at Scale work model which allows the existence of autonomous cells per financial product. In the process, the contribution of the Ingenia approach was key, a qualified service in IT Architecture to establish guidelines and strategic vision in the integration of components that allow a correct evolution of the platform. **Implementación:** 1. Definition of Digital Architecture, SRE/DevOps Operating Model, hiring and mentoring the Architecture Team, DevOps and SRE. 2. Setup Tooling Developer Experience and SRE 3. Participated in production rollout via Observability mechanisms and Day-2 Operation for the complete infrastructure, SLOs, Error Budgets and Incident Handling. **Testimonio:** > "Knowing that we could count on the Ingenia team to tackle the technological challenges of launching a completely cloud-based bank, allowed us to focus on providing a better experience and accelerating time-to-market with a robust and reliable technological solution." > — Alejandro Bellochio, Head of IT Strategy and Digital [Ver detalle completo del caso](https://ingenia.la/en/case-studies/7) --- #### [Agentic Architecture for Medical Directory](https://ingenia.la/en/case-studies/238) **Cliente:** Medife We deployed an AI Agent to enhance medical directory interaction, delivering hyper-personalized experiences for +300,000 members, reducing operational costs and ensuring total interoperability. **Industria:** Health | **Año:** 2025 | **Región:** Argentina | **Empleados:** +300.000 members **Tecnologías:** MCP logo 1.png, google cloud.png, adk byn.png, vertex2.png **Desafío:** Medifé, a leading private healthcare company in Argentina, sought to boost its business by incorporating Generative Artificial Intelligence (GenAI). Following a prior Proof of Concept (PoC), Ingenia was engaged to develop an AI assistant that would interact with members, allowing them to access medical directory services more efficiently through natural language. The main challenge of the project lay in the definition and implementation of integration components (MCP) for agentic architectures. **Solución:** Ingenia led the implementation of the AI Agent, a milestone achieved in several stages. The initial phase defined the use cases, which involved converting the API "operations" for the medical directory and plans into "Tools" for the MCP. These tools were developed as functions encapsulating the necessary logic to consume the REST operations exposed by the APIs. Subsequently, an MCP server was configured, grouping all developed tools and exposing them under the MCP protocol. This server was deployed to Google Cloud Run, packaged as a Docker image, allowing it to run as a scalable service. The MCP tools were then integrated into the assistant agent, enabling it to autonomously decide their use. Finally, a testing and refinement stage validated the assistant's behavior using the new tools exposed via MCP. The result was a platform that allows the company to automate and streamline its directory services thanks to an AI agent. Key benefits of this platform include hyper-personalized experiences for over 300,000 members nationwide, in addition to achieving reduced operating costs, friction-less scalability, rapid time-to-market, and total interoperability between the agent and internal systems. **Implementación:** 1. Tools Development 2. Server generation 3. Deploy MCP Server on CloudRun 4. Client Code generation 5. Testing and refinement **Testimonio:** > "Ingenia, more than a technology partner, became a strategic partner. With the development of a robust architecture for Artificial Intelligence agents, we managed to evolve toward integrating this technology into our core processes. We felt strongly supported throughout this entire process." > — Claudia Tejedor, CIO at Grupo ASE Conecta [Ver detalle completo del caso](https://ingenia.la/en/case-studies/238) --- #### [AI-Driven Demand Forecasting](https://ingenia.la/en/case-studies/240) **Cliente:** Forus We designed a unified BigQuery data platform with AI for Forus, optimizing analytics and purchasing through Machine Learning by country and brand, achieving full operational autonomy. **Industria:** Retail | **Año:** 2026 | **Región:** Latin America | **Empleados:** +3600 employees **Desafío:** Founded in 1980, Forus is one of the most prominent Chilean companies in the wholesale and retail sale of leading clothing brands, with a total of 519 stores. It operates in six markets in the region, combining physical retail, e-commerce, and wholesale operations. The organization had major challenges ahead. Its business information was distributed across the ERP, store point-of-sale systems, the e-commerce platform, supplier systems, and multiple spreadsheets, without a common and reliable data layer that would allow different areas to work from the same version of the information. In the fashion retail industry, this situation has a direct impact on the business: overbuying means margin lost in liquidation processes, while buying below demand represents sales that are never recovered. Without a single, governed database, purchasing decisions largely depended on the judgment of the planner in charge, which also hindered the possibility of scaling artificial intelligence initiatives. **Solución:** Ingenia designed and built a modern data architecture on BigQuery, with the data lake as a single source of truth. Through AI-assisted extraction and ingestion processes, all dispersed data was consolidated, and the platform was modeled so that the same base fueled both descriptive analytics and machine learning purchasing models. Forus consolidated all of its information into a data lake on BigQuery, which allowed it, for the first time, to plan its purchases using machine learning models. In turn, the internal team was put in charge of the platform, ensuring its autonomy over the solution. Instead of replicating existing information silos, all sources were unified into a governed layer on BigQuery and object storage. Having a single source of truth allows for the enabling of BI and machine learning processes without duplicating pipelines or generating discussions about the validity of the data. Given the heterogeneity and number of sources involved—ERP, POS, e-commerce and suppliers—artificial intelligence models were used to accelerate the extraction and normalization processes, reducing manual mapping time from several months to a few weeks and decreasing the cost of incorporating new sources. The platform was designed with a focus on scalability: today it allows for answering both what happened, through descriptive analytics, and how much to buy, through machine learning demand models by country and brand, using the same database and without the need to rebuild the architecture. With unified information, planning teams stopped working with spreadsheets and began operating with projections based on machine learning. Purchases were adjusted to the actual demand of each country and brand, which allowed Ingenia to lay the foundations to achieve: reduction of stockouts, decrease in liquidation due to overstock, margin recovery without increasing staff count, demand projection by country and brand, and a database prepared to scale toward new artificial intelligence use cases. Forus was positioned on a database prepared to support future artificial intelligence use cases, consolidating itself as a platform in constant evolution and not as a closed project. **Implementación:** 1. Diagnosis of dispersed information sources 2. Design of the modern data architecture on BigQuery 3. AI-assisted data source ingestion and normalization 4. Consolidation of the data lake as a single source of truth 5. Development of machine learning demand models by country and brand 6. Transfer of the platform to the team **Testimonio:** > "For the first time, we have all our data in one place and working for the business. We stopped arguing about which number was correct to decide how much to buy with a model that learns from the actual demand of each market." > — Gustavo Rivera, CIO at Forus [Ver detalle completo del caso](https://ingenia.la/en/case-studies/240) --- #### [ Generative AI - Bot](https://ingenia.la/en/case-studies/10) **Cliente:** TICMAS We developed a bot based on a multi-LLM approach, which optimized the learning experience and generated a valuable market differentiator. **Industria:** Education | **Año:** 2025 | **Región:** Argentina | **Empleados:** +100.000 students **Desafío:** In a situation where education and technology are beginning to synergize towards a new teaching model, the educational company sought to incorporate Generative AI capabilities into its platform to provide students with a more personalized learning experience. **Solución:** Ingenia developed a bot based on multiple Large Language Models (LLMs), which optimizes the study experience, offers various benefits, and creates a valuable market differentiator. The automated program is capable of learning and understanding course content, as well as accurately and efficiently answering students' questions. Its value as a tool is crucial: the solution provides support to students whenever needed, thereby enhancing their learning experience and engagement with the course. **Implementación:** 1. Definition and Design of the Solution. 2. Implementation of the Solution. 3. Accessibility on the platform. 4. Monitoring Responses and Feedback after Implementation. 5. Minor Improvements and Adjustments. **Testimonio:** > ""Working with Ingenia ensured a clear understanding of our needs and the development of a robust and innovative solution that aligns with our strategic objectives."" > — Tomás Moyano, CTO at Ticmas [Ver detalle completo del caso](https://ingenia.la/en/case-studies/10) --- #### [Staff Alignment](https://ingenia.la/en/case-studies/12) **Cliente:** Nalanda We integrated technological challenges with technical capabilities. With a new CTO, we supported team evolution and accompanied C-Levels and teams through transformation. **Industria:** Construction | **Año:** 2025 | **Región:** Europe, North America, Latin America | **Empleados:** +20.000 projects **Desafío:** The Spanish multinational provides a SaaS digital platform for large companies and their suppliers. Its goal is to facilitate collaboration and the exchange of documentation, purchases, invoices, and business information, while promoting transparency and reducing costs, time, and risks for organizations. Nalanda Global needed to align the IT vision with business challenges. For this, Ingenia was brought in to drive the project, understanding that it required an analysis of both the technological situation and how to support the people who are part of this change, thus ensuring the achievement of business objectives and long-term sustainability through training and internal team capabilities. **Solución:** At Ingenia, we carried out a proposal based on integrating and complementing the technological challenge along with the perspective and technical capabilities of people. In this context, with the incorporation of a new CTO, we provided the necessary support to evolve their technical team so they would have the capacity to materialize business goals. Thus, we developed a project that included defining the team structures required to face the technological challenge, evaluating competencies and technical skills, which resulted in developing professional development plans and leadership consolidation. Additionally, we provided support to C-Levels, the People Experience area, and technical teams to ensure real adoption of the transformation. **Implementación:** 1. Discovery. 2. IT Team situation: As is and to Be. 3. Skill Mapping. 4. Upskilling Plan. **Testimonio:** > "Ingenia enabled us to develop technologically in alignment with strategic objectives, with the added challenge of preparing teams to face this crucial new reality." > — Gustavo Arjones, Group CTO [Ver detalle completo del caso](https://ingenia.la/en/case-studies/12) --- #### [NFTickets, Fractional CTO & IT Architecture](https://ingenia.la/en/case-studies/11) **Cliente:** BOMBO We developed a platform that enables the secure purchase of NFT tickets for the Argentine electronic music scene, based on Blockchain technology. **Industria:** Entertainment | **Año:** 2025 | **Región:** Argentina | **Empleados:** +500.000 users **Tecnologías:** Alchemy.png, Aws.png, Kubernetes_logo.png, NestJS-logo-wordmark 1 (1).png, nullplatform 1 (1).png, pinata.png, polygon.png, Solidity.png **Desafío:** The startup aimed to develop a platform that enables the secure purchase of NFT tickets for the Argentine electronic music scene, leveraging blockchain technology. This approach sought to minimize the constant ticket counterfeiting common in the entertainment industry. Additionally, as a complementary objective, they aimed to turn the app into a space for interaction and communion for the clubber community. **Solución:** Ingenia took on the role of Fractional CTO for BOMBO, responsible for the strategic vision, defining the technological direction of the company, and forming an engineering team to implement the necessary solutions. The platform, which guarantees complete transparency in transactions, succeeded in eliminating fraud in ticket sales. Additionally, it set a record by selling more than 12,000 tickets for a single event in just 36 minutes, without interruptions or the need for virtual queues. All of this was achieved thanks to a robust solution based on blockchain technology and the highest technological standards. Subsequently, with the platform established as the number one in its field, Ingenia created new BackOffice reports by migrating from a monolithic Backend architecture to a microservices architecture and a new data model that supports the regional scale required by the app. As a final step in this major iterative project, Ingenia led the adoption of a new structure and comprehensive Delivery framework, generating standards and best practices for the design, agility, development, and implementation of projects. Additionally, Ingenia supported the restructuring of teams and roles to achieve these changes progressively and naturally. **Implementación:** 1. Incorporation of a Fractional CTO. 2. Development of an NFTicket sales platform, leveraging blockchain through smart contracts. 3. Creation of new Backend Architecture, BackOffice, and Reports enabling regional scaling. 4. Migration of the Backend from a monolithic architecture to microservices. 5. Generation and transfer of a comprehensive Delivery framework through standards and best practices for the design, documentation, development, and implementation of projects. **Testimonio:** > "Ingenia, through its Fractional CTO and architecture team, was the key to the creation and development of the app as an NFTicketing platform, using Blockchain technology as a crucial space to eliminate ticket fraud." > — Bebe Pueyrredón, CEO of BOMBO [Ver detalle completo del caso](https://ingenia.la/en/case-studies/11) --- #### [Improving Customer Experience through an FMS](https://ingenia.la/en/case-studies/6) **Cliente:** cablevision The company needed to improve its incident resolution processes to identify the most urgent issues. **Industria:** Telecom | **Año:** 2025 | **Región:** Argentina | **Empleados:** +2000 employees **Tecnologías:** JBossFuse.png, kafka.png, MongoDB.png, neo4j.png **Desafío:** Cablevisión has 11 million customers spread out over various countries. With its large-scale operation, the company needed to improve its incident resolution processes to identify the most urgent issues. The company had two key objectives: Reduce costs: achieved resource optimization by avoiding unnecessary crew costs. Improve Customer service: created a robust and flexible architecture. Through business rules, Cablevisión became more efficient and accurate in the detection of network breakdowns and reduced resolution times. **Solución:** We designed a solid solution that involved the development of an information architecture and its subsequent implementation, resulting in an improvement in customer service without impacting on high costs for the company. **Implementación:** 1. Definition of the Conceptual and Technical Architecture for a Fault Management System. 2. Implementation of a Technological Solution on Red Hat Fuse, BRMS, Kafka, Neo4j, MongoDB and Continuous Delivery with Jenkins. **Testimonio:** > "It was a tremendous challenge, the kind that we are most passionate about taking on at Ingenia. We designed and built a solution that made it possible to process peaks of 10,000 events per second." > — Luciano Salotto, Software Architect [Ver detalle completo del caso](https://ingenia.la/en/case-studies/6) --- #### [Architecture, Roadmap and Smart meters](https://ingenia.la/en/case-studies/3) **Cliente:** edenor We worked on an architecture capable of identifying IT capabilities, evaluating solution coverage, and guiding the evolution from the As-Is to the To-Be state, with a focus on value delivery. **Industria:** Energy | **Año:** 2025 | **Región:** Argentina | **Empleados:** +2000 employees **Tecnologías:** Apache Hadoop.png, Apache Nifi.png, Apache Spark.png, Aws.png, kafka.png, MongoDB.png, Qlik.png, SAS Viya.png **Desafío:** Edenor had the challenge of driving a disruptive change in its way of operating and providing the supply of electrical energy through the use of smart gaugers. To do this, it should have an adequate architecture that will support the implementation of this necessary evolution in the company’s systems. **Solución:** We worked on an architecture that identifies IT capabilities, serves to assess the coverage status of existing solutions and guide the evolution from the current situation to the objective, with a focus on delivering value. **Implementación:** 1. View: definition of business and IT objectives, restrictions and architecture principles. 2. Architecture creation: definition of IT capabilities to support the objectives presented, considering the experience and good practices of the industry. 3. Accompaniment: definition of coverage alternatives for each of the core IT capabilities and comparison of architectures based on attributes. Definition of a roadmap of initiatives to move from the current situation of Edenor to the ideal, with a view to an evolution of 3 years. **Testimonio:** > "With its work, Ingenia allowed the definition of an evolution plan for Edenor’s systems to be able to support the necessary changes that entail enabling a new business model in the company" > — Alejandra Trozzi, Solution Architecture Assistant Manager [Ver detalle completo del caso](https://ingenia.la/en/case-studies/3) --- #### [Refund Solution by AI Cyborg Engineers](https://ingenia.la/en/case-studies/242) **Cliente:** IKE We developed a reimbursement MVP in 10 days (instead of 3 months), digitizing the process and reducing management time from 15 days to online resolution. **Industria:** Health | **Año:** 2026 | **Región:** Argentina | **Empleados:** 2,000,000 users **Tecnologías:** react js.png, next js.png, spring-boot.png, cursor.png, figma.png, auth0.png, Aws.png, gitlab.png **Desafío:** Vetify (Iké Argentina's pet health plan company) was migrating towards a digital model where the refund process is critical for customer experience and operational efficiency. However, the workflow relied heavily on manual validations, limiting its scalability for a high-volume, low-ticket model. With an unavoidable business commitment and starting only from a design prototype, the company needed a strategic partner capable of materializing and implementing the web solution in record time. **Solución:** At Ingenia, we transformed this challenge into an efficiency milestone through an operational model accelerated by Artificial Intelligence. We consolidated a Cyborg Engineers cell that, in an intensive hackathon-style format and working in sync with the client's team, built a functional end-to-end refund MVP in just 5 days of analysis and 5 days of development—a project that would traditionally have required a minimum of 3 months. This technological integration and the use of AI assets allowed for maximizing performance and achieving end-to-end digitalization, where users now manage their refunds in a 100% self-managed and digital way. The process re-engineering significantly optimized claims verification and transformed a historically manual workflow into an efficient and governed process for the Back Office, achieving the major milestone of reducing the refund management window from a traditional 15-day period to an online resolution. As an innovative approach, the key to success was building a relationship of solid trust to make agile technical decisions, demonstrating a new delivery model to the organization: faster, more efficient, scalable, and with superior quality from day one. **Implementación:** 1. Discovery 2. Architecture 3. Cyborg Week 4. Iteration 5. Development **Testimonio:** > "Experience confirms that true speed with AI depends on having clarity and integration with existing capabilities. We highlight our co-creation with Ingenia, as it opened a path to deepening the use of AI to transform our technological capabilities." > — Hernán Suarez, CIO at IKÉ [Ver detalle completo del caso](https://ingenia.la/en/case-studies/242) --- **Total:** 12 casos de estudio disponibles. [Case studies](https://ingenia.la/en/case-studies) | [Talk to us](https://ingenia.la/en/contact-us)