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    Implementation Guide

    What a Health System Should Do When a Clinical AI Vendor Is Acquired or Shuts Down

    Treat the event as a governance and continuity problem, not only a procurement issue. Keep a current inventory and contract protections in place beforehand. When a signal appears, assess exposure, contain access and data flows, then migrate or decommission with clinical sign-off, verified data deletion, and preserved audit records.

    Why this is a continuity event

    A clinical AI vendor acquisition or shutdown is a governance and continuity problem, not only a procurement issue. The effects reach clinical safety, PHI, access control, and contracts, so the response belongs with AI governance leaders as well as procurement.

    Six phases of a vendor acquisition or shutdown response

    The response moves through six phases. The sections that follow cover each one in order.

    Response phases and their focus
    PhaseFocus
    1. PreparationInventory tools, dependencies, owners, and fallback procedures.
    2. Trigger detectionRecognize the first signal and route it to governance.
    3. AssessmentEstablish what changes for clinical safety, PHI, and contracts.
    4. ContainmentLimit access, credentials, data flows, and unapproved changes.
    5. Transition or decommissioningMigrate or retire the tool and confirm data disposition.
    6. Post-event reviewUpdate the playbook, inventory, and contract templates.

    Preparation: inventory and fallback before any signal

    Keep a current inventory and contract protections in place before any signal appears. Inventory tools, dependencies, owners, and fallback procedures.

    Contract terms to seek

    • Advance written notice of any change of control, with a defined notice period.
    • Notice of changes to model versions, hosting location, subprocessors, or data handling.
    • Return of PHI and model-related data on termination, with written certification of deletion.
    • Transition assistance and continued support for a defined period after notice.
    • Access to model documentation and validation artifacts, with escrow where feasible.
    • Termination or review rights that are triggered by a change of control.

    Trigger detection and assessment

    Trigger detection

    Recognize the first signal and route it to governance.

    Assessment

    When a signal appears, assess exposure. Establish what changes for clinical safety, PHI, and contracts.

    Containment: limit access without breaking care

    Contain access and data flows while the tool is under review. Limit the following without breaking care:

    • Access
    • Credentials
    • Data flows
    • Unapproved changes

    Transition, decommissioning, and post-event review

    Transition or decommissioning

    Migrate or retire the tool and confirm data disposition.

    Post-event review

    Update the playbook, inventory, and contract templates.

    Keep control of access while a clinical AI tool is under review

    Runtime policy enforcement, agent identity, least-privilege permissions, and audit logging can help limit access and preserve records during a vendor transition. Talk through how these controls fit your governance process.

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