In a recent case study, Shankar from System Base Labs demonstrates how AWS services and AI can transform customer onboarding in banking. The system uses Amazon Textract to extract data from KYC documents, Amazon SageMaker for real-time risk scoring and fraud detection, and AWS Step Functions to orchestrate dynamic, AI-driven decisions. LangChain and large language models add contextual intelligence and explainability, while Automation Anywhere handles workflow execution. The architecture includes Amazon S3, DynamoDB, AWS Lambda, and EventBridge, with human-in-the-loop for compliance and trust.
Key business impacts include 90% faster onboarding, 60% reduction in operational costs, improved compliance, and enhanced fraud detection. This approach marks a shift from static workflows to adaptive, intelligent systems, enabling dynamic risk-based decision-making.