Situation
A regulated enterprise team of a leading pharmaceutical company was responsible for monitoring compliance and operational metrics by collecting standardized forms from multiple facilities. These forms captured critical production, quality, and compliance information and contained a combination of handwritten and printed data.
The existing process relied heavily on manual data entry into downstream systems, resulting in long processing cycles, limited scalability, and a high dependency on human effort. As data volumes increased, the need for a secure, automated, and scalable digitization approach became essential to support timely decision-making and compliance adherence.
Problem
- Heavy reliance on manual processing of handwritten and printed forms
- Long turnaround time for data availability and reporting
- Increased risk of human error impacting compliance accuracy
- Limited scalability as document volumes continued to grow
- Lack of an automated, end-to-end document ingestion and extraction pipeline
Solution
- Designed a fully automated document processing pipeline using the Azure ecosystem
- Enabled bulk form ingestion from enterprise document repositories into Azure Blob Storage
- Orchestrated workflows using Azure Logic Apps for document monitoring, splitting, and routing
- Leveraged Azure Function Apps to integrate with Azure Document Intelligence for OCR and structured data extraction
- Automated delivery of processed data back to enterprise collaboration platforms
- Adopted a serverless, pay-per-use architecture to ensure scalability, security, and cost efficiency
Impact
- >90% reduction in processing time (from hours to minutes per batch)
- Extraction accuracy rate of 95% by integrating Azure Document Intelligence with validation logic,
- 5x increase in daily document processing capacity without additional headcount
- 30% reduction in operational and IT costs through serverless Azure services
- Improved compliance monitoring and audit readiness through secure, centralized storage in Azure Blob Storage, ensuring traceability and governance of documents and extracted data.
Business Impact
-
>90%
reduction in processing time
-
95%
extraction accuracy rate
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The firm's name is derived from the statistical terms "Mu" and "Sigma," which symbolize a
probability distribution's mean and standard deviation, respectively.