Reported impact
Business outcome
50–60x faster code migration 20x faster small app migrations Regression testing reduced from 3 days to 3 hours
- Productivity Improvement
- Risk Reduction
- Speed to Market
MongoDBFinancial ServicesApplication RefactoringIT Operations AutomationApplication ModernizationCloud MigrationGenerative AI / LLMProductivity ImprovementRisk ReductionSpeed to Market2026 MongoDBMDB#00684aFinancial ServicesEuropeLombard Odier needed to modernize its legacy banking infrastructure, reduce technical complexity, and accelerate innovation while maintaining security and regulatory compliance.LG U+ Read about how LG U+ improves efficiency by 30% with MongoDB-powered AI tool DevRev Learn how IT company…Aug 11, 20266Application Refactoring|IT Operations AutomationMongoDB Atlas0 2026-08-11 6
Lombard Odier
Application Refactoring · IT Operations Automation
Lombard Odier needed to modernize its legacy banking infrastructure, reduce technical complexity, and accelerate innovation while maintaining security and regulatory compliance.
LG U+ Read about how LG U+ improves efficiency by 30% with MongoDB-powered AI tool DevRev Learn how IT company DevRev boosted its CRM solution’s performance by 3-4x with MongoDB Atlas.
Lombard Odier also started to migrate more than 250 applications from its existing Java application server to the bank’s next-generation framework.
“Migrating simple code is now 50 to 60 times quicker, and we can migrate small applications 20 times faster to MongoDB.
Solution
Lombard Odier needed to modernize its legacy banking infrastructure, reduce technical complexity, and accelerate innovation while maintaining security and regulatory compliance. The bank leveraged MongoDB Modernization Factory and Gen AI to migrate from SQL, modernize its Java-based systems, and automate testing, significantly accelerating its transformation. Leveraging MongoDB AI Modernization Solutions Building on a 10-year relationship with MongoDB, Lombard Odier chose the data platform provider for its transformation. After discussing the bank's initiative, MongoDB recommended leveraging MongoDB's modernization services, which combines advanced gen AI tools and MongoDB expertise to accelerate the application modernization process. MongoDB’s ability to scale was key to this system migration. The bank then decided to go a step further and worked with MongoDB to use gen AI on a marketing application called “Publications” to accelerate the code migration.
Data flow
Operational data from legacy or distributed applications is consolidated in MongoDB Atlas, where flexible document models support microservices, APIs, and downstream user experiences without batch-heavy synchronization. Upstream and downstream integrations include CRM systems, APIs.
Solution architecture
- Storage
- MongoDB Atlas Provides the managed document database backing Lombard Odier's modernized application platform.
Architecture clues
- The deployment integrates with APIs.
- The deployment integrates with CRM systems.
- The deployment is designed for multi-cloud flexibility.
Evidence from the source
"it became apparent that using a combination of gen AI and MongoDB's modernization services could help automate time-consuming tasks, accelerate the upgrade of existing apps, and migrate them to MongoDB."
“Migrating simple code is now 50 to 60 times quicker, and we can migrate small applications 20 times faster to MongoDB. Regression testing also went from three days to three hours with automated test generation.”
“To support the business strategy, we have developed a modular, high-performing, scalable platform that draws on the latest technological innovations to facilitate employees' day-to-day work, and provide clients with individualized investment perspectives.”
“We’re more than halfway through our modernization initiative, and we’re continuing to industrialize processes. We plan to launch more database migration initiatives with MongoDB in the coming months,”
Transparency Evidence & methodology
Review how this reference was scored and trace each normalized claim back to its documented source.
Scoring methodology
How scores are calculated
Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.
Customer reference value100/100
- Problem clarity20/20Measures whether the customer's operational problem is specific enough to compare.
- Implementation depth25/25Rewards named components, data flow, integrations, and architecture detail.
- Outcome specificity20/20Measures whether the reported benefit is concrete rather than a generic claim.
- Quantified impact25/252 metrics describe measurable impact.
- Deployment scale10/10Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence89%
- Source authority20/25The main evidence is an official vendor-published customer story.
- Claim traceability21/2510 of 12 key fields link to a named source.
- Direct evidence20/204 direct source quotes retained.
- Date provenance10/10The publication date comes from the source page or publisher.
- Source transparency8/101 source reference document publisher, URL, authority, retrieval, and supported fields.
- Implementation specificity10/10Rewards source-backed components, data flow, quantified impact, and a specific outcome.
Traceability
Sources & provenance
Field coverage shows which facts each source supports. Dates are shown only when documented by the source.
- https://www.mongodb.com/solutions/customer-case-studies/lombard-odierMongoDBFirst-party
Lombard Odier customer story
Supports- Customer
- Business problem
- Solution
- Products
- Solution components
- Data flow
- Integrations
- technical area
- use case category
- Business outcome
- outcome category
- Metrics
- Architecture
- evidence quotes
- Publication date
Date evidence
- Published on source page Aug 11, 2026 · MongoDB · First-partyOpen date source
Not separately sourced Industry, Region, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.
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