Constantinople helps mid-market banks adopt AI using Amazon Bedrock
Financial services provider Constantinople built an AI-native banking platform on AWS using Amazon Bedrock, performing more than 8,000 daily data quality checks; at partner bank Tyro, AI-powered customer service automation resolves 68% of customer chats without agent involvement, and lending document review that once needed teams of about 30 people can now be handled by as few as two.
Overview
Financial services provider Constantinople built an AI-native banking platform on AWS using Amazon Bedrock, performing more than 8,000 daily data quality checks; at partner bank Tyro, AI-powered customer service automation resolves 68% of customer chats without agent involvement, and lending document review that once needed teams of about 30 people can now be handled by as few as two.
This entry has 12 published fields tied to exact passages in an immutable source capture.
Inspect the highlighted sourceThe challenge
Mid-market banks and credit unions face the same regulatory requirements, fraud risks, and customer expectations as larger banks, but without the same scale or technology budgets to modernize efficiently, and many operate across fragmented legacy systems that increase operational overhead and limit their ability to adopt AI-driven capabilities.
The solution
Constantinople built an AI-native banking platform on AWS that unifies customer experience, product, compliance, operations, and data capabilities. Using Amazon EKS, AWS Lambda, APIs and other AWS services, it built a containerized, event-driven architecture on an integrated real-time data foundation, and uses Amazon Bedrock to develop AI-powered workflows that help financial institutions improve efficiency across banking operations, including customer service chat automation and near-real-time analysis of customer-submitted lending documentation, while keeping model training separated from each institution's customer data.
Reported business value
Banks operating on the platform are seeing cost-to-income reductions of 30-50 percent; at partner bank Tyro, AI-powered customer service automation resolves 68 percent of customer chats without agent involvement, some lending review processes that traditionally required teams of around 30 people can now be managed with as few as two, and the platform performs more than 8,000 daily data quality checks.
Sources
Open any source and check the claim yourself — that is the point of the register.
This record was researched and written with AI assistance, and its claims were checked against the sources above. (EU AI Act art. 50 transparency notice.)
Other financial services entries in the register.
Navy Federal Transforms Service With AI
Navy Federal Credit Union is reshaping banking for military members by unifying data and leveraging generative and agentic AI on the Databricks Data + AI Platform. By embracing AI-augmented workflows and upskilling teams, Navy Federal delivers customized services while streamlining productivity through responsible change management and data readiness.
Navy Federal Credit UnionDatabricks
Lloyds Banking Group cuts mortgage income verification from days to seconds with ML
Lloyds Banking Group, the UK's largest digital bank, migrated 15 modelling systems from on-premise infrastructure to Google Cloud's Vertex AI (now Agent Platform), giving over 300 data scientists and AI developers scalable machine learning capabilities. In six months the bank ran 80 new ML experiments and launched 18+ GenAI systems into production, including an algorithm that reduces the income verification step in mortgage applications from days to seconds. The migration also cut unplanned ML platform downtime to zero and saved 27 CO2 tonnes of operational emissions.
Banking Innovator bunq Supports Growth, Strengthens Security Using AWS
bunq, a Dutch neobank with over 11 million users across Europe, uses Amazon Bedrock for several generative AI use cases including summarizing new user data with large language models, removing the need for agents to process onboarding documents manually. Using Amazon Bedrock, bunq tripled user support process efficiency while maintaining over 90 percent accuracy. Sensitive data stays within bunq's AWS virtual private cloud, supporting GDPR and PCI DSS compliance alongside tools such as AWS CloudHSM, AWS Security Hub and AWS KMS.
bunq· NetherlandsAmazon Bedrock · AWS CloudHSM · AWS Security Hub +1TBC Bank Operationalizes Trusted Data with Lakebase
TBC Bank, the largest banking group in the Caucasus region, built a Lakehouse on Databricks and adopted Lakebase and Databricks Apps to move from on-premises SQL Server instances and month-long reporting cycles to self-service analytics and AI-driven applications, including a web-based AI chatbot and AutoML-based credit risk scoring. Credit risk model deployment fell from 14 weeks to two days, and more than 600 users regularly query governed data through Genie.
TBC Bank· GeorgiaDatabricks Platform · Lakebase · Databricks Apps +4Was this helpful?
Your feedback helps us improve our use case database