Solution partner
EPAM powers 3 source-linked AI deployments documented in AIUseCaseHub, across 3 industries and 3 countries. Documented deployments include AI agents.
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Hyperscaler mix
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Build / Buy / Compose across this partner's documented cases
3 of 3 cases classified (100%) · Compare all use-case types
Reported outcomes
1 case reports measurable results
−35%
Cost savings
median · 1 metric
Medians of results published in EPAM cases, normalized for comparability. See all benchmarks →
Equifax transformed to a cloud-native foundation on Google Cloud after a major breach, using a nine-layer zero-trust security architecture, machine learning-based threat detection, and a partner-built data fabric to unify legacy data.The new foundation also enabled real-time consumer credit data delivery and faster creation of B2B products and services.
e-Xyon, a legal technology provider, migrated its hosted data centers to Google Cloud to reduce infrastructure costs and improve agility for legal software customers.The company deployed Vision AI in one of its products to read electronic litigation documents, update them, and notify lawyers, supporting legal document processing and contract lifecycle management workflows.
Albert Heijn, a leading Dutch supermarket chain, faced challenges in a tight labor market and aimed to optimize processes for their largely young, part-time workforce. To address this, the company developed a conversational AI assistant within its @AH Employee App using Azure OpenAI, Azure Kubernetes Service, and Azure Database PostgreSQL. The assistant answers store employees' questions related to their tasks and customer service on their mobile devices.The implementation, co-developed with Microsoft and EPAM, was rooted in deep user involvement: store employees contributed to the design, which led to high adoption and usability. The assistant integrates with barcode scanning and floorplanning features for product search and shelf management.Pilots across several stores showcased improvements in process efficiency and employee satisfaction. The tool delivers instant, in-context answers for everyday tasks, reducing the need for managerial support and enabling a more independent workforce.The generative AI platform on Azure ensures scalability and means the solution is ready to roll out to all owned stores. Its cultural impact has been significant, fostering excitement and a forward-looking mindset among staff.The project is setting a new standard for employee digital experience in retail and is expected to contribute to talent retention and workplace productivity. The adoption journey involved iterative prototyping and close feedback, ensuring the solution matched real-world workflows and generational preferences.