How WesTech eSolutions and ParaScript delivered automated document intelligence across 100+ form types for a global cancer therapy innovator.
The Challenge
A global biotech leader in cancer therapy needed to streamline information management so all incoming data from Contract Manufacturing Organizations (CMOs) was accessible enterprise-wide.
Hundreds of scanned forms with thousands of pages of handwritten data required uniform, automated extraction — manual re-entry was too slow, costly, and error-prone.
The Solution
WesTech eSolutions and ParaScript addressed the semi- structured, regulated nature of the content — including handling document revisions and unexpected page insertions.
ParaScript software was leveraged to deliver a fully automated solution extracting data from hundreds of distinct fields across more than 100 document types ranging from 30 to 300 pages.
The Benefits
Complete data collection made possible through automation and semi-automation (assisted keying)
Cross-departmental data availability — Development, Manufacturing, and Quality groups
Significantly more efficient than labor-intensive, error-prone manual alternatives
Rapid return on investment with immediate cost, time, and effort savings
“This extremely complex project required us to use every aspect of the ParaScript software, both out-of-the-box capabilities and functionality available through the APIs. The customization flexibility of the product made this project possible and doable.”
100+
Distinct document types processed automatically
1M+
Documents processed annually to clear backlogs
300
Maximum pages per document handled seamlessly
The Challenge in Detail
For well over a decade, this biotechnology company built a reputation for pioneering cancer therapies. Continued expansion and co-development partnerships made streamlining information management a strategic necessity.
Incoming documents — both handwritten and machine-print — were manually re-entered by employees. With increasing volumes from more CMOs daily, the company needed an automated solution capable of processing 100+ document types, extracting data from hundreds of distinct fields, efficiently managing document revisions, and doing all of this while reducing costs.
“They need access to all the data, and yet handwritten data is distributed over many thousands of multi-page documents with variable formats. It was hard to access.”
The WesTech-ParaScript Solution
The solution automated incoming document processing based on a comprehensive set of business rules developed over months of close collaboration — creating a repeatable, seamless workflow.
Only a couple of employees are now required to do the work of many: a data capture expert and a subject matter expert to handle new or edge-case document challenges. The solution used every aspect of ParaScript software — both out-of-the-box capabilities and functionality available through the APIs. Customization flexibility was essential to making the project possible. Once data is in the system, it is repurposable and available across the organization for statistical and visualization tools.
The Key Benefits
Immediate ROI: Savings in cost, time, and effort were realized immediately upon deployment — replacing a labor-intensive manual process with a streamlined automated one.
Complete Data Capture: All data — not just some — is now captured and stored. Automation and semi-automation enable extraction at a volume previously impossible with manual entry.
Highest Accuracy: Critical data is extracted and verified with the highest degree of accuracy, upholding the company’s exacting standards and eliminating manual entry errors.
Enterprise-wide Access: Data is now repurposable and available across Development, Manufacturing, and Quality groups — supporting enterprise statistical and visualization tools.
Scalable Throughput: Capability to process over one million documents annually — enabling the company to clear any backlog as CMO volumes grow.
Reduced Staffing Costs: Only a data capture expert and a subject matter expert are needed to handle what previously required a much larger team of manual data entry staff.
