Normalized claim
Accuracy: 90%
Amazon Bedrock-based outputs were reported at over 90% accuracy while keeping sensitive data inside the virtual private cloud.
bunq: Tripled user support efficiency using Amazon Bedrock on AWS
Use case typeCustomer support automationUpdated Jun 13, 2026
bunq is a digital bank serving more than 11 million users across Europe and operating a banking license in the Netherlands. To support growth and compliance requirements, bunq migrated its infrastructure to AWS and used managed services to simplify operations and scale quickly. The bank adopted Amazon Bedrock for generative AI use cases, including summarizing new user data and removing manual document-processing steps in onboarding and support workflows.
- Organization
- bunq
- Industry
- Finance
- Location
- Netherlands
- Published
- April 2026
Reported outcomes
90%
accuracyQuality & accuracy
Strategic outcomes
Speed & agilityTripled user support process efficiencySpeed & agilityFaster onboarding without manual document processingRisk & complianceKept sensitive data inside VPCSpeed & agilityNear-instant scaling of infrastructure
Why do we believe this?Outcome claims, sources, and evidence checks
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- bunq
- Provider
- AWS
- Maturity
- Unknown
- Linked source
- AWS Customer Stories
No explicit deployment-stage evidence found.
Customer identity supportedSource describes one deploymentMaturity evidence evaluated
Primary read
Use case focus
Showing 3 of 3
- 1Customer support automation
- 2Onboarding automation
- 3Document summarization
- Support rapid user growth while maintaining security and GDPR/PCI DSS compliance.
- Reduce manual document handling in onboarding and support operations.
- Increase efficiency without compromising output quality or data protection.
- bunq migrated its infrastructure to AWS for easier maintenance and near-instant scaling.
- It uses AWS Security Hub, AWS Key Management Service, and AWS CloudHSM to support security and key management controls.
- bunq uses Amazon Bedrock to summarize new user data with large language models, automating manual processing and accelerating onboarding and user support.
- bunq reported tripled user support process efficiency.
- The bank said onboarding became faster because agents no longer needed to process documents manually.
- Amazon Bedrock-based outputs were reported at over 90% accuracy while keeping sensitive data inside the virtual private cloud.
Architecture
The article says bunq runs on AWS managed services, uses Amazon Bedrock for generative AI summarization of new user data, and relies on AWS Security Hub, AWS Key Management Service, and AWS CloudHSM for compliance and key management. The data remains inside the AWS virtual private cloud.
Sources & evidence1
Evidence: Medium50/100Evidence strength
- Customer explicitly identified
- Primary source available
- Quantified outcome available
- Technical implementation details available
Type: Customer StoryPublished: Apr 29, 2026Publisher: AWS Customer StoriesEvidence: PrimaryConfidence: High
AI-generated summary. Verify important details with the linked sources before relying on this case.
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