xLM provides support from research to market with innovative automation solutions to simplify how organizations manage their GxP validation.
Wayne, PA
Joined August 2016
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Generative AI can accelerate pharmaceutical validation—but a human approval button alone does not make an AI workflow compliant.
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Controlled workflows preserve the connection between requirements, execution evidence, and conclusions.
Strong human oversight is essential—but compliance depends on the complete implementation, not a signature or an “AI validated” label.
Accelerate the work.
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Preserve human authority. Demonstrate compliance through controlled execution and defensible evidence.
Read the accompanying article:
zurl.co/WqOIH
A great AI demo is not proof that a system is ready for pharmaceutical manufacturing. Can you explain its role, defend the decisions it supports, and demonstrate that it remains under control? zurl.co/SHd2m
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The difference between exploring possibilities and influencing operating decisions
Why governance commitments need demonstrable evidence
How engineering, quality, and regulatory teams can build controls into development
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Stop playing defense against your own compliance overhead.
If your GxP systems aren’t running on continuous intelligence, you’re burning engineering hours on work software should handle autonomously.
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Every week on the Intelligent Pharma Minute (IPM), we unpack how leading life-sciences organizations deploy agentic AI to hit their quality and release goals—cleanly, reliably, and on time.
Link to previous episode: zurl.co/1Jz8b
Every Tuesday at 2 PM ET
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Writing a URS by hand can take weeks. With cIV, you describe the system — and cIV writes the URS for you.
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5️⃣1:37 Step 5 — Review your URS: 13 requirements across 5 sections, each with its own ID — all editable right in the browser.
6️⃣2:02 Step 6 — Send for sign-off: reviewer confirmation, sequenced electronic signatures, and a full audit trail of who did what, and when.
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