Innovating with MongoDB | Buyer Successes, October 2025

It’s formally fall! The beginning of each new season is an ideal time to think about change and new beginnings. Whereas fall would possibly make you concentrate on pumpkin spice and newly chilly evenings, I’m fascinated by the newest spherical of transformations that MongoDB’s clients are embracing to thrive in an AI-powered world.

In all seriousness, legacy techniques and technical debt are enormous challenges: the price of tech debt has been estimated at virtually $4 trillion {dollars}. That’s trillion with a T! Legacy techniques can decelerate innovation, create bottlenecks, and make it powerful to ship the seamless, real-time experiences clients more and more count on. However corporations are discovering that modernizing their functions is not nearly fixing what’s damaged—modernization allows them to maneuver quicker and innovate for end-users.

That’s why I am extremely excited to share the latest launch of MongoDB’s Utility Modernization Platform (AMP). This AI-powered program is designed to assist enterprises transfer past outdated infrastructures to embrace a versatile, data-driven future. AMP is a complete method to modernization that mixes sensible AI tooling with confirmed methodologies, enabling companies to rework their functions from the bottom up, shifting from legacy monoliths to a extra versatile, microservices-based structure.

On this roundup, we’re spotlighting clients who perceive the strategic significance of modernization. You may see how Wells Fargo is utilizing MongoDB to energy a brand new bank card platform, how CSX is making certain enterprise continuity throughout a vital migration, how Mind Design is modernizing its wealth administration platform, and the way Deutsche Telekom is remodeling its B2C digital channels. With MongoDB, clients are exhibiting how integral a trendy database is to powering the following technology of functions—and succeeding within the AI period.

Wells Fargo

Wells Fargo sought to modernize its mainframe-dependent bank card platform to offer a quicker, extra seamless buyer expertise and deal with an exponential enhance in transaction information. The corporate’s legacy system was pricey to handle and lacked the scalability wanted for its “Playing cards 2.0” initiative.

To unravel this, Wells Fargo constructed an operational information retailer (ODS) utilizing MongoDB. This new platform allowed them to undertake reusable APIs, streamline integrations, and transfer from a monolithic structure to versatile microservices. The ODS now serves 40% of visitors from exterior distributors, dealing with greater than 7 million transactions with sub-second service.

By leveraging MongoDB, Wells Fargo was in a position to jumpstart its mainframe modernization and create curated information merchandise to serve real-time, personalised monetary companies.

CSX

CSX, a significant U.S. railroad firm, sought to modernize its vital operations platform, RTOP, by migrating it to the cloud. The problem was to take care of the platform’s 24/7 availability with minimal disruption to its mission-critical, close to real-time operations throughout the transition.

To unravel this, CSX chosen MongoDB Atlas on Azure and partnered with MongoDB Skilled Companies. Leveraging the Cluster-to-Cluster Sync (mongosync) characteristic, the workforce was in a position to facilitate steady information synchronization and full the complete migration in only a few hours.

The transfer to MongoDB Atlas has geared up CSX with a extra scalable and resilient platform. This modernization effort established a blueprint for migrating different vital functions and helped CSX proceed its digital transformation journey towards changing into America’s best-run railroad.

Mind Design

Mind Design, a world fintech firm, sought to modernize its wealth administration platform to beat legacy system bottlenecks and multihour batch processing delays. The corporate’s inflexible relational database structure restricted its capacity to scale and innovate.

To unravel this, the corporate partnered with MongoDB, utilizing our AMP methodology and generative AI instruments. This transformation reengineered the platform’s core elements, leading to an 85% discount in onboarding workflow instances, permitting shoppers to entry vital portfolio insights quicker than ever.

This initiative is step one in Mind Design’s long-term imaginative and prescient to combine its whole software suite right into a unified, AI-driven service. By leveraging MongoDB Atlas’s versatile schema and highly effective native instruments, the corporate is now higher positioned to ship smarter analytics and superior AI capabilities to its clients.

Deutsche Telekom

Deutsche Telekom, a number one telecommunications firm, sought to modernize its B2C digital channels, which have been fragmented by outdated legacy techniques. The corporate wanted to create a unified digital expertise for its 30 million clients whereas enhancing developer productiveness.

By leveraging MongoDB Atlas as a part of its Inner Developer Platform, Deutsche Telekom constructed a strong information infrastructure to unify buyer information and energy its new digital companies. This method allowed the corporate to retire legacy techniques and scale back its reliance on bodily retailers and name facilities.

The transition to MongoDB Atlas led to an enormous surge in digital engagement, with each day buyer interactions rising from underneath 50,000 to roughly 1.5 million. The corporate’s buyer information platform now handles as much as 15 instances the load of legacy techniques, supporting large-scale loyalty packages and remodeling the client expertise.

Video highlight: Bendigo Financial institution

Earlier than you go, watch how Bendigo and Adelaide Financial institution modernized their core banking expertise utilizing MongoDB Atlas and generative AI.