What challenges did Al Salam Bank face before AI implementation?

Extend beyond traditional banking to create a more accessible, intuitive, and value-driven digital experience. Support frequent service releases, high availability, strong security, regulatory alignment, and data residency requirements. Enable early AI-driven workflows for client service and document processing.

What was the impact of the AI solution?

Moved from concept to launch in less than 12 months. Continues to release new services every 1–2 months. Surpassed 60,000 downloads in the first year and supported more than 17 services. Processed increasing volumes of financing applications without downtime or scalability issues. Improved operational efficiency, helping a small team manage high application volumes while maintaining reliability. Broadened access to financial products for wider retail client segments.

Source

Al Salam Bank: Open banking marketplace app with generative AI workflows on AWS

Use case typeDigital banking platformUpdated Jun 25, 2026

Al Salam Bank built ONE App as an open banking marketplace that brings selected banking, financial, and nonbanking services into one digital platform. The platform was designed to support rapid launch, frequent service releases, strong security and governance, high availability, and data residency requirements. The same foundation supports early AI-driven workflows for client service and document processing.

Organization: Al Salam Bank
Industry: Finance
Location: Bahrain
Published: June 2026

Reported outcomes

60,000 downloads

app downloads in year oneAdoption & scale

12 monthstime to launch17 servicesservice breadth at launch+50%service release cadence

Strategic outcomes

Market & geographic expansionExpanded beyond traditional banking with an open banking marketplaceOther strategic outcomeBroadened access to financial products for retail clientsCost efficiencyA small team could manage higher application volumes reliably

Primary read

Use case focus

Showing 2 of 2

1Digital banking platform
2Workflow automation

Extend beyond traditional banking to create a more accessible, intuitive, and value-driven digital experience.
Support frequent service releases, high availability, strong security, regulatory alignment, and data residency requirements.
Enable early AI-driven workflows for client service and document processing.

Built ONE App using a scalable multiregion AWS architecture with microservices and serverless services.
Uses AWS Lambda for event-driven workloads, Amazon Aurora for transactional data, Amazon ECS for containerized workloads, Amazon CloudFront for content delivery, and Amazon API Gateway to coordinate APIs.
Integrated Amazon Bedrock-backed generative AI and agent workflows for client service and document processing.

Technologies

AWS Lambda Amazon Aurora Amazon Elastic Container Service Amazon CloudFront Amazon API Gateway Amazon Bedrock Infrastructure as Code Automated deployment pipelines

Moved from concept to launch in less than 12 months.
Continues to release new services every 1–2 months.
Surpassed 60,000 downloads in the first year and supported more than 17 services.
Processed increasing volumes of financing applications without downtime or scalability issues.
Improved operational efficiency, helping a small team manage high application volumes while maintaining reliability.
Broadened access to financial products for wider retail client segments.

Architecture

Al Salam Bank built ONE App using a scalable multiregion AWS architecture combining microservices and serverless services. The solution uses AWS Lambda, Amazon Aurora, Amazon ECS, Amazon CloudFront, Amazon API Gateway, infrastructure as code, automated deployment pipelines, and Amazon Bedrock for early AI-driven workflows.

Implementation partners1

AWS Enterprise Support

Sources & evidence1

Groundedness: 5/5Type: Customer StoryPublished: Jun 25, 2026Publisher: AWSEvidence: PrimaryConfidence: High

Primary source

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Customer evidence