AI-Powered Document Automation
Auto loan applicants submit diverse documents — W-2s, pay stubs, bank statements, IDs, handwritten notes — through fragmented channels including email, WhatsApp, SMS, and in-person uploads. Document formats vary widely: PDFs, scanned images, and mobile photos.
Credit processors manually collect, transcribe, and interpret each document before loan submission, creating bottlenecks that slow approvals and limit throughput.
The Stratto Solution
Stratto deploys an intelligent document processing agent built on AWS and integrated with leading GenAI models (OpenAI, Anthropic, Meta, and others).
Processing Capabilities
- Document classification and validation
- OCR and handwriting recognition using AWS Textract
- AI-driven data extraction for credit application fields
- Automated form completion and submission
Deliverables
- API submission of completed applications to financial institutions, CRM systems, or dealership backends
- Secure encrypted storage in compliant vault for auditability, forensic access, and document retention
- Client portal for applicants to track status, view documents, and receive SMS updates
Compliance Built-In
The solution operates on AWS PCI DSS-compliant infrastructure supporting:
- Secure transmission and encryption of sensitive data (PII/financial information)
- Role-based access control and audit logging
- Retention policies meeting federal lending regulations (CFPB, GLBA, FTC Safeguards Rule)
Every document and interaction meets financial data privacy, security, and traceability standards.
AI Fraud Detection
By analyzing document inconsistencies, metadata, and behavioral patterns, Stratto agents automatically flag:
- Suspicious income-to-debt ratios
- Mismatched IDs or altered documents
- Duplicate applications or reuse of falsified records
"Our document processing was complicated. Clients sent documents in multiple formats — from photos to handwritten notes — using every possible channel. Before Stratto, one loan application could take hours. Now it's done in minutes, and our credit team's productivity has increased fourfold."