Introduction:
Customer is a global leader in IT services and consulting, managing complex financial and operational processes across multiple geographies. With high invoice volumes across enterprise accounts, invoice processing remained a manual, time-intensive operation impacting speed, cost efficiency, and financial accuracy.
To modernize this function, the customer partnered with Rapyder to implement an AI-powered, intelligent invoice extraction engine built on Microsoft Azure.
Client
A Leading IT consulting service provider
Industry:
Information Technology & Consulting
Offering:
AI-Powered Intelligent Automation – Invoice Extraction
Azure Services Utilized:
- AI & ML: Azure OpenAI (GPT-4o)
- Serverless & Automation: Azure Functions
- Networking: Azure API Management Service
- Storage: Azure Blob Storage
Business Need:
The customer required automation of invoice processing to:
- Reduce manual processing time (12–15 minutes per invoice)
- Improve financial data accuracy and eliminate rework
- Lower operational costs tied to validation and exception handling
- Scale seamlessly during peak invoice cycles
- Strengthen audit readiness and compliance controls
The objective was to build a scalable, secure, and intelligent system capable of processing high invoice volumes with minimal human intervention.
Solution Approach and Implementation:
Rapyder designed and deployed a serverless AI-driven invoice extraction architecture on Microsoft Azure.
- Configured Azure API Management for secure invoice ingestion
- Developed Azure Functions to orchestrate workflow and validation logic
- Integrated Azure OpenAI (GPT-4o Vision) for intelligent invoice content extraction
- Implemented multi-page detection and filtering logic (Original, Duplicate, E-way Bill)
- Built automated deduplication and field validation mechanisms
- Stored validated structured data with metadata in Azure Blob Storage
- Enabled audit trails with confidence scores and performance logs
The solution ensured intelligent extraction, validation, structured output, and secure storage fully automated.
Reaping Rewards:
The implementation delivered measurable operational and financial impact:
- 6X Faster Processing: Reduced invoice handling time from 12–15 minutes to 1–2 minutes
- 80% Reduction in Processing Costs: Achieved average savings of $7 per invoice, delivering approximately $250,000 annual savings (mid-sized operations)
- 95%+ Data Accuracy: Reduced extraction errors from 8–10% to under 3% while achieving 65% reduction in manual data errors
- 5X Scalability Improvement
Scaled from 10,000 to 50,000 invoices per month without increasing headcount - 30–40% Productivity Increase
Reduced human touchpoints by 70–75% - 60% Reduction in Compliance Risk
Improved audit traceability and standardized validation
