Solid dose manufacturer
Mid-size specialty pharma, Northeast US
Challenge
Processing 200+ batches per month across two product lines. Batch record review was consuming 40% of the QA team's capacity, and exception classification inconsistency was generating re-review cycles that added 1-2 days to the average review timeline.
Result after 90 days
Batch record review cycle time dropped from an average of 3.1 days to 4.2 hours. QA team reallocated 35% of previously review-occupied time to investigation and CAPA work. Zero exception inconsistency disputes in the period following deployment.
Injectable sterile manufacturer
Contract manufacturer, Southeast US
Challenge
As a CMO operating under multiple clients' SOPs, inconsistency in deviation intake classification was creating problems in both client audit responses and their own FDA preparation. CAPA timelines were running 20-30% over SLA targets.
Result after 90 days
Deviation classification consistency improved significantly, with AI-assisted intake bringing structured fields into every intake form regardless of who filed the report. CAPA SLA compliance reached 100% in the three months following full deployment.
Biologics manufacturer
Clinical-stage biotech, Cambridge MA
Challenge
Preparing for first commercial manufacturing validation while scaling the QA team from 3 to 12. The team needed a validated QMS platform that could grow with them without requiring an ERP replacement or extended validation engagement.
Result
Completed validation of Katalyze AI in under 6 weeks using the provided IQ/OQ/PQ documentation. The quality team went from paper-and-spreadsheet to fully electronic QMS before their first commercial validation batch, with zero re-validation required during their FDA pre-approval inspection preparation.