Overview
This video explains why AI adoption in life sciences is shifting from experimentation to operational deployment and why teams need continuous validation, clear controls, and lifecycle oversight as AI-enabled workflows evolve.
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USDM video
2026: AI Leaves the Pilot Phase and Needs Continuous Validation
Watch a short overview of why AI is moving beyond pilots in life sciences and what regulated teams need to consider as validation becomes continuous.
1:34 May 15, 2026
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Watch the short overview, then use the links below to keep moving: explore the related capability, browse more resources, or start a conversation with USDM.
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What to take from it
1
Understand why AI moving out of the pilot phase changes the validation conversation from one-time testing to ongoing lifecycle control.
2
Learn why regulated teams need stronger alignment between intended use, risk classification, monitoring, evidence, and human oversight.
3
Identify readiness questions around governance, data quality, model change, workflow impact, and inspection-ready documentation before scaling AI.
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AI Deployment
Explore how USDM helps regulated teams move AI from pilots to governed deployment with the right controls and evidence.
Learn MoreContinuous Compliance
See how USDM helps life sciences organizations keep systems, workflows, and validation evidence current as technology changes.
Learn MoreTalk with USDM
Start a conversation about AI validation, governed deployment, lifecycle controls, or continuous compliance.
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