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Experian

5000+ employees· United Kingdom·Website

Global data and technology company providing credit services, analytics, and fraud prevention to businesses and consumers.

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Use Cases (4)

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Experian
~300
engineering days saved

Experian's Data Office used AWS Transform, an agentic AI service for application modernization, to upgrade seven legacy .NET Framework applications to .NET 8.0. The AI-driven approach transformed 687,600 lines of code automatically, saving approximately 300 engineering days — a 40% reduction in developer effort — and freed teams to focus on higher-impact initiatives rather than manual code upgrades.

Financial ServicesATAWS TransformAQAmazon Q Developer
E
Experian
35%
customer emails automated

Experian, the multinational data broker holding data on 1.1 billion people across 32 countries, built “Latte” — a GenAI email automation system — on Databricks Mosaic AI by fine-tuning a Llama 8B model. The system now handles 35% of incoming contact center emails autonomously, reduced model fine-tuning time 11x from 86 hours to under 8, and lifted customer NPS by 8%.

Financial ServicesDUDatabricks Unity CatalogDADatabricks Agent Bricks
E
Experian
25%
win rate improvement

Experian Employer Services is a data-driven compliance and workforce solutions company serving 25,000 employees across multiple regulated markets. The company deployed the Gong Revenue AI Operating System to replace fragmented, manual sales forecasting with a unified, real-time intelligence layer. The result was a 25% increase in win rates and 10% growth in sales volume through AI-driven deal prioritization and risk identification.

Financial ServicesGRGong Revenue AI OS
E
Experian
~300
engineering days saved

Experian’s Data Office in the UK manages mission-critical consumer and business information infrastructure for one of the world’s largest credit bureaus. Facing seven legacy .NET Framework applications that required manual modernization, the team used AWS Transform — an agentic AI service for .NET migration — to automate code transformation and wave planning. The result: approximately 300 engineering days saved, 687,600 lines of code transformed, and 40% reduction in developer effort across seven applications.

Financial ServicesATAWS TransformAQAmazon Q Developer
Experian AI Use Cases & Strategy | Applied