Transforming banking for 6 million German customers on AWS with DKB
Deutsche Kreditbank AG (DKB), one of Germany's largest banks serving 6 million customers, migrated its digital banking platform including 84 databases, 130 APIs, and over 200 million objects to AWS using a phased strategy with AWS DataSync and AWS DMS. The bank now uses generative AI for a digital assistant in its banking platform, and the migration delivered up to 100% improvement in API response times, a 50% reduction in platform and operational costs, and a 25% decrease in mean time to resolve incidents.
Overview
Deutsche Kreditbank AG (DKB), one of Germany's largest banks serving 6 million customers, migrated its digital banking platform including 84 databases, 130 APIs, and over 200 million objects to AWS using a phased strategy with AWS DataSync and AWS DMS. The bank now uses generative AI for a digital assistant in its banking platform, and the migration delivered up to 100% improvement in API response times, a 50% reduction in platform and operational costs, and a 25% decrease in mean time to resolve incidents.
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Inspect the highlighted sourceThe challenge
DKB was experiencing outages that impacted customer experience, long release cycles that created friction among teams, and high infrastructure and operational costs, while needing to operate in a highly regulated German banking environment and wanting to adopt new technologies like generative AI faster.
The solution
DKB worked with AWS Professional Services and AWS Partner Netlight Consulting on a phased migration of its digital banking platform to AWS (Amazon EKS, Amazon RDS for PostgreSQL, Amazon S3, AWS DMS, AWS DataSync, AWS Backup, AWS KMS via the AWS Migration Acceleration Program), then used its new cloud-based development environment to build and test a generative AI digital assistant in its banking platform.
Reported business value
The cloud-based development environment let DKB integrate generative AI capabilities into its systems quickly and in a controlled way, significantly reducing the time from experimentation to production for its digital assistant, and the underlying migration itself cut infrastructure and operational costs by 50% while reducing new-release effort by an estimated 40%.
Sources
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