DOI: https://doi.org/10.36347/sjet.2025.v13i10.006

Pages: 838-844

The background check industry continues to face inefficiencies in manual order creation, resulting in long turnaround times and high risks of human error. These challenges are especially critical in recruitment, financial services, and compliance-driven workflows where speed, accuracy, and regulatory adherence are essential. Manual processes average ~180 seconds per request and are difficult and costly to scale. This work presents a serverless, event-driven system for automated order creation that leverages functions-as-a-service (FaaS) and event queues to improve latency, scalability, and reliability while lowering operational costs (Kaffes, K). The design allows for independent scaling of individual components based on demand, ensuring responsiveness during peak loads (Exton, K). Initial results demonstrate a substantial reduction in order creation latency compared to traditional methods, alongside enhanced fault tolerance and cost-effectiveness (Chard, R). This approach provides a blueprint for modernizing background check processes and can be adapted to other data-intensive applications requiring high throughput and availability (Meister, B). The architecture integrates AWS Lambda, Step Functions, DynamoDB, SQS, and API Gateway to handle real-time requests and orchestrate distributed workflows with built-in retries, error handling, and operational alerts for greater resilience. Experimental results show a reduction in average latency from ~180 to ~13 seconds (over 90%), a 95% cost reduction, and reliability improvements from ~70% to ~98%. These outcomes demonstrate the potential of serverless architectures to transform compliance-driven, data-intensive operations through scalable, efficient, and sustainable automation.