Introduction: 

The digital transformation of pharmaceutical manufacturing continues to accelerate, with Manufacturing Execution Systems (MES) like PAS-X serving as the cornerstone for ensuring compliance, traceability, and operational excellence.

During the migration of MES PAS-X across different versions, the integrity and accuracy of the master batch records (MBRs) must be maintained.

One of the most critical steps in this process is identifying, documenting and preventing inaccuracies and differences between the MBRs in both versions.

This Whitepaper explores how Large Language Models (LLMs) can help to automate or partially automate and enhance deviation detection in both MES Systems, with a focus on enabling faster and more accurate migration processes.

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