Pharmaceutical manufacturers are racing to integrate AI across quality, production, and regulatory operations, but there’s a hidden bottleneck that continues to stall progress: unstructured documents. From batch records and cleaning logs to deviation reports and validation protocols, critical data remains locked in fragmented PDFs, scanned forms, and uncontrolled templates leaving even the best AI initiatives running on guesswork. This session will expose the unseen friction behind AI adoption in pharma and introduce a document-first approach to data accuracy, compliance, and AI trust. Learn more about:
- The hidden threat to Pharma 4.0, and why 80% of pharma’s operational and compliance data remains invisible to AI.
- How to eliminate manual document chaos, with real-world examples of automating validation, formatting, and routing across QMS, MES, and eBR systems.
- How to turn PDFs into actionable insights by converting batch records, SOPs, and CAPAs into AI-ready, structured content.
- How regulatory-grade accuracy at scale can be achieved through human-in-the-loop workflows, digital fingerprinting, and auto-validation to reduce risk, speed up audits, and support ALCOA+.
- The next steps leading pharma companies are taking to prepare their documents for AI, RAG, and predictive quality today—not three years from now.
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