Automating Financial Document Processing with GenAI on AWS
How Dily transformed manual financing workflows into a scalable AI-powered platform
Digital vehicle transactions move fast — but financing workflows often don’t.
Dily, a leading automotive fintech platform in Latin America, needed to scale loan evaluations without increasing operational complexity. Manual document validation was slowing down approvals, increasing costs, and creating friction between dealerships, customers, and financial institutions.
Together with binbash, Dily built a GenAI-powered document processing platform on AWS that automated validation workflows, accelerated decision-making, and strengthened compliance — all within a secure, serverless architecture.
Manual verification couldn’t keep up with platform growth
Dily’s financial analysts were reviewing multiple documents per financing application — including IDs, payslips, addresses, and quotations — before sending cases to banks.
As transaction volume increased, this process introduced:
High operational costs and long turnaround times
Inconsistent document formats causing bottlenecks
Increased risk of human error
Need for stronger automation and compliance readiness
Dily needed an AI-driven solution capable of understanding and validating financial documents at scale — without compromising data security.
A serverless GenAI document processing platform built on AWS
binbash designed and implemented a fully automated document validation system powered by Amazon Bedrock and the Leverage™ framework.
Core technologies included:
Amazon Bedrock for AI orchestration, embeddings, and guardrails
AWS Lambda and EventBridge for event-driven processing
Amazon S3 for secure data lake architecture
Slack integration for real-time notifications
AWS IAM for secure handling of PII data
The platform was deployed across two environments — Blueprints and Production — enabling rapid experimentation while maintaining enterprise-grade stability.
Security and Compliance by Design
Financial workflows require strong governance from day one.
The implementation included:
Dedicated S3 buckets to isolate PII-sensitive workloads
IAM least-privilege access policies
Secure serverless orchestration across environments
Full audit readiness through structured data handling
Security wasn’t added later — it was built into the architecture.
Faster approvals, fewer errors, and scalable growth
The new GenAI platform delivered measurable improvements:
Up to 75% reduction in manual document validation
Review turnaround reduced from days to under one hour
AI workflows now automate over 90% of document types
Improved accuracy and reduced operational friction
Dily transformed a resource-heavy process into an intelligent, scalable operation.
Why binbash?
binbash helps fintech and platform companies move from manual operations to production-ready AI architectures on AWS.
Using the Leverage™ framework and Well-Architected principles, binbash builds modular, secure, and scalable infrastructure designed for builders who need speed without sacrificing governance.