Benchmark's AI-powered batch record review solution replacing page-by-page manual checks with review-by-exception for a generic pharmaceuticals manufacturer.
A leading manufacturer of generic pharmaceuticals operates in a highly regulated environment where batch records, process documentation, and quality checks are critical for product safety, compliance, and timely batch release.
Its operations involve extensive documentation across manufacturing and packaging stages, and every record must be reviewed accurately with full traceability.
All of this review was done manually by quality teams, page by page, for every batch.
The company produces high volumes of batches across multiple manufacturing and packaging lines.
Each batch generates large and complex batch manufacturing and batch packing records that must be checked before the product can be released.
Quality teams spent significant effort verifying entries, signatures, dates, and supporting checklists in every record.
Any inconsistency found late could delay product release, and any observation missed could become a compliance issue.
The company needed a faster and more consistent way to review batch documents without compromising quality standards.
Every operational bottleneck reported was matched to the workstream(s) that resolved it.
Manual review of batch documents was slow and resource intensive for quality teams.
AI reviews batch manufacturing and batch packing records automatically.
Quality teams focus only on the exceptions the AI flags, which reduces manual QA effort.
Large and complex records carried a high risk of observations being missed during review.
The system detects missing entries, inconsistencies, and compliance gaps on its own.
Inconsistencies in documentation could impact compliance and delay product release timelines.
Faster and more consistent document review supports quality and release workflows.
Quality teams spent significant effort verifying signatures, dates, and supporting checklists.
The solution validates signatures, dates, chronology, and checklist completeness across the record.
Limited visibility into exceptions slowed down investigation and review closure.
Every observation comes with source level references, so investigation is faster and fully traceable.
The review by exception approach freed quality teams from page by page checking of every record.
Automated detection reduced the risk of missing observations in large and complex records.
Source level references let reviewers jump straight to the evidence behind every observation.
Every batch record was checked against the same rules, removing person to person variation.
Faster and more reliable review helped protect compliance and product release timelines.
Documentation consistency likely improved across all batches, supporting compliance and timely batch release.
