About the Client
Operations Corp is a mid-size enterprise with over 500 employees processing thousands of documents monthly.
The Challenge
The company spent hundreds of hours monthly on repetitive data entry and document processing across departments.
The Solution
We built an AI pipeline that extracts data from documents, validates it against business rules, and feeds it into existing systems automatically.
Key Features
Document Extraction
AI reads and extracts structured data from any document format
Handles 10,000+ documents/month
Business Rule Validation
Automated checks against company policies
99.5% accuracy rate
System Integration
Feeds data directly into ERP, CRM, and accounting systems
Zero manual data entry
Exception Handling
Flags uncertain items for human review
Humans focus only on edge cases
The Results
75% reduction in manual work. ROI achieved in under 2 months.
75%
Less manual work
<2mo
ROI achieved
10K+
Docs processed/month
99.5%
Accuracy rate
Our Process
Discovery
2 weeksDocument audit, workflow mapping, stakeholder interviews
Design
1 weekAI pipeline architecture, integration planning
Development
4 weeksModel training, pipeline building, system integration
Testing
1 weekAccuracy testing with real documents, edge case handling
What the Client Loved
- ROI was achieved before the project was even fully complete
- Staff were genuinely excited to stop doing data entry
- The exception handling meant they never lost control
Challenges We Overcame
- Handling poorly scanned documents — pre-processing and OCR enhancement
- Integrating with a 15-year-old ERP — we built a database bridge
Technology Stack
AI/ML
Automation
Backend
Hosting
