MongoDB has announced the release of MongoDB AMP, an AI-powered Application Modernization Platform designed to help enterprises accelerate the transformation of legacy applications into modern, scalable services. The platform brings together AI-driven tooling, a structured delivery framework, and experienced engineers to guide customers through complex modernization projects.
It positions itself as a response to one of the most persistent challenges in enterprise IT: how to efficiently upgrade legacy systems without incurring excessive costs or delays.
Enterprises across sectors rely heavily on legacy applications that are both mission-critical and difficult to evolve. Many of these systems were built on rigid data models and outdated technology stacks, making them costly to maintain, resistant to integration with modern architectures, and often risky from a compliance or security standpoint. According to the Consortium for Information & Software Quality, technical debt stemming from poor software quality and outdated systems costs the U.S. economy nearly $4 trillion annually, reflecting failures, lost developer productivity, and maintenance burdens.
MongoDB AMP is presented as a departure from traditional approaches, which typically involve lengthy, manual consulting engagements that often stall or deliver only incremental improvements. Instead of “lift and shift” migrations that replicate outdated architectures on a different database, AMP combines MongoDB’s document model with AI automation to accelerate full-stack transformation. Tasks such as code transformation can be completed up to ten times faster, with complete modernization projects accelerated by two to three times.
Rachel Stephens, Research Director at RedMonk, said the launch signals MongoDB’s recognition that the data layer is the critical foundation for scalable, modern services. “AMP empowers organizations to go beyond incremental migrations, focusing instead on true transformation from the data up,” she noted.
For MongoDB, the expansion into application modernization represents an evolution beyond its established role as a database provider. Vinod Bagal, Senior Vice President of Modernization and Transformation at MongoDB, positioned AMP as a more cost-efficient alternative to traditional modernization models. “Research shows that too many organizations spend time and budget on low-value, high-effort work simply to keep the lights on,” said Vinod Bagal. “MongoDB AMP helps companies move from traditional to transformative with speed and quality, enabling both innovation and cost savings.”
Realization of AI Vision
The development of AMP has been underway for more than two years and has already been tested with some of MongoDB’s most demanding customers. In the financial sector, Bendigo Bank in Australia used AMP to migrate a core banking application from a legacy relational database to MongoDB Atlas. The process reduced development time by 90 percent, while AI-driven tooling cut testing time from 80 hours to five minutes.
Swiss bank Lombard Odier similarly migrated applications from SQL databases to MongoDB. The collaboration resulted in code migration speeds up to 60 times faster and regression testing reduced from three days to three hours, enabling developers to focus more on delivering new features rather than maintaining legacy code.
IntellectAI, a large enterprise fintech company, also worked with MongoDB to modernize its Wealth Management platform. The modernization improved performance, shortened development cycles, and strengthened the platform’s ability to integrate generative AI. The company now uses MongoDB’s technology as part of its flagship enterprise AI platform, Purple Fabric, which supports real-time investment decision-making for one of the world’s largest sovereign wealth funds.
Deepak Dastrala, CTO of IntellectAI, described the transformation as pivotal: “Modernizing with MongoDB has freed us from bottlenecks and accelerated the realization of our AI vision. Together, IntellectAI and MongoDB are enabling clients to turn AI vision into measurable business impact.”
As enterprises continue to pursue generative AI, cloud migration, and digital transformation, application modernization has emerged as a strategic bottleneck. MongoDB AMP seeks to address that constraint directly, positioning AI as a force multiplier in the modernization process. By combining automation, a proven methodology, and domain expertise, MongoDB is betting that AMP can redefine modernization not as a slow, resource-heavy undertaking but as a fast, repeatable process that unlocks long-term competitiveness.
