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The AI Validation Boundary: Extended Edition

Methods, frameworks, and field notes for validating probabilistic AI systems in regulated drug development, sent when they publish.

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    The House of AI Trust™

    A five-layer model for trustworthy AI in regulated drug development workflows.

    The guide sets out the full architecture — and the control layer that converts governance from a set of principles into evidence an inspector can actually examine.

    Inside · 01

    25-point readiness checklist

    An organizational self-assessment across all five layers, scored so you can see which floor is missing before you build on top of it.

    Inside · 02

    Regulatory timeline

    What FDA, EMA, and the GAMP 5 / GAMP AI Guide lineage have asked sponsors to demonstrate, and when each expectation lands.

    Inside · 03

    The control layer, in full

    Layer 3 in operational detail, including the Probabilistic Validation Lifecycle — the seven-step model for systems where reproducibility is bounded.

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    The House of AI Trust™

    Five layers. Two threads. One defensible system.

    Each layer rests on the one beneath it. Two threads run vertically through all of them. Hover a layer — or a thread — to see what it covers and where to read more.

    Two threads run through every layer
    L5
    Business ROI
    Makes AI investable
    L4
    Domain + Process Context
    Makes AI useful — explainability & communication
    L3
    The Control Layer
    Makes AI defensible — where validation happens
    L2
    AI Governance
    Makes AI manageable
    L1
    Trust Infrastructure
    Makes AI possible — the foundation