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MongoDB Collaborates with Lombard Odier to Modernize Core Banking Technology with Generative AI

MongoDB Collaborates with Lombard Odier to Modernize Core Banking Technology with Generative AI

Leading Swiss bank uses MongoDB to accelerate generative AI innovation and deliver enhanced services to clients

MongoDB, Inc. today announced that Lombard Odier, a global Swiss private bank founded in 1796, has partnered with MongoDB to further modernize its leading banking technology systems. In collaboration with MongoDB, Lombard Odier has accelerated the modernization of its systems and applications with generative AI, reducing technical complexity and accelerating the bank’s innovation journey. The generative AI-assisted modernization initiative enabled Lombard Odier to:

  • Migrate code 50 to 60 times quicker than previous migrations
  • Move applications from legacy relational databases to MongoDB twenty times faster, leveraging generative AI
  • Automate repetitive tasks with AI tooling to accelerate the pace of innovation, reducing project times from days to hours

Delivering seamless digital experiences to private and institutional customers while driving cost efficiencies is a major challenge across the banking industry. With the acceleration of digitization and the advent of AI, Lombard Odier is evolving its systems and integrating new technologies to give its clients the best possible service and experience. The bank’s GX Program—a seven-year initiative designed to modernize Lombard Odier’s banking application architecture to respond to market developments—launched in 2020 with the goal of enabling quicker innovation, reducing potential service disruption, and improving customer experiences.

Building on its 10-year relationship with MongoDB, Lombard Odier chose MongoDB as the data platform for its transformation initiative. The bank initially decided to develop its portfolio management system (PMS) on MongoDB. The bank’s largest application, with thousands of users, PMS manages shares, bonds, exchange-traded funds, and other financial instruments. MongoDB’s ability to scale was key to this system migration, as this system is used to monitor investments, make investment decisions, and generate portfolio statements. It is also the engine that runs Lombard Odier’s online banking application “MyLO,” which is used by the bank’s customers.

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The bank engaged with MongoDB to co-build a Modernization Factory—a service that helps customers eliminate barriers like time, cost, and risk frequently associated with legacy applications and eliminate technical debt that has accumulated over time—to expedite a secure and efficient modernization. MongoDB’s Modernization Factory team worked with Lombard Odier to create customizable generative AI tooling, including scripts and prompts tailored for the bank’s unique tech stack, which accelerated the modernization process by automating integration testing and code generation for seamless deployment.

“To enhance Lombard Odier’s business strategy, we developed a technology platform that draws on the latest technological innovations to facilitate employees’ day-to-day work, and provide clients with individualized investment perspectives,” said Geoffroy De Ridder, Head of Technology and Operations at Lombard Odier. “We chose MongoDB because it offers us a cloud-agnostic database platform and an AI modernization approach, which helps to automate time-consuming tasks, accelerate the upgrade of existing applications, and migrate them at a faster rate than ever before. Having up to date technology has made a big impact on our employees and customers while proving to be fast, cost-effective, and reducing maintenance overheads.”

In addition to PMS, Lombard Odier modernized multiple other applications from its existing Java application server to the bank’s next-generation framework. The bank then went a step further and worked with MongoDB to use generative AI on a marketing application called “Publications” to accelerate the code migration. The bank’s developers were also able to use Modernization Factory gen AI based tooling and products to feed into scenarios during regression testing and automatically generate new code much faster than before.

“Financial institutions with as much history as Lombard Odier undoubtedly have large, complex legacy systems that have been supporting the business for decades. However, it is important for organizations to constantly evaluate these systems to understand if they are still serving their best interest today, and for the future,” said Sahir Azam, Chief Product Officer at MongoDB. “This can be a daunting task, but we are proud to have worked through this with Lombard Odier to prove that it is possible and can actually be quite simple with the right technology. The transformation work Lombard Odier has done sets them up to take advantage of new, cutting-edge technologies which improve customer experience immensely.”

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