Case Studies
AI / Advanced Analytics · Financial Services
AI Document Automation for Financial Compliance Workflows
AI-assisted document intelligence improved compliance throughput without adding headcount.
⏱ 5 months👥 1 AI engineer + 2 full-stack developers
Overview
A financial services provider processed large volumes of invoices and policy documents manually, creating delays in validation and downstream payment workflows.
58%
reduction in manual document effort
44%
faster validation cycle
31%
faster invoice completion
96%
field-level extraction accuracy (audited sample)
The Challenge
What We Were Solving
Document checks depended on manual review across multiple teams, resulting in inconsistent extraction quality, longer approval cycles, and avoidable exception queues.
Our Approach
How We Solved It
- Built secure intake and classification for invoices, statements, and compliance forms.
- Implemented OCR plus ML extraction for key entities and tabular data.
- Applied rule-based validation and confidence scoring before approval routing.
- Added exception queues for low-confidence records and policy breaches.
- Integrated validated outputs with downstream finance and reporting systems.
Technology Stack
Tools & Platforms Used
PythonAWS TextractAWS LambdaReactMongoDBREST APIs
"
We cut review time dramatically while improving audit confidence across document-heavy workflows.
Head of Process Excellence, Meridian Financial Services (name changed)