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AI Product Sunset Playbook

This playbook outlines a structured approach for gracefully retiring AI products, ensuring minimal disruption and maximizing knowledge transfer.

mysimulator teamUpdated June 2026≈ 3 min read▶ Open the simulation

AI Product Sunset Playbook

Retire AI products with care through structured planning, transparent communication, and rigorous risk controls.

Stakeholder Communication

Knowledge Retention & Learning

Define criteria for sunsetting AI products based on performance, risk, strategic alignment, and cost.

Engage governance boards to approve sunset decisions and allocate resources for transition.

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Stakeholder Communication

Craft communication roadmaps tailored to customers, partners, regulators, and employees.

Provide support resources, migration options, and feedback channels throughout the transition.

Frequently asked questions

What is decommissioning models and disabling API endpoints?

Decommission models, disable API endpoints, and document model artifacts for audit purposes.

What are Risk Controls & Compliance related to?

Risk Controls & Compliance refers to the measures taken to manage potential risks associated with the system’s operation and ensure adherence to relevant regulations.

How should risk assessments be conducted during a sunset process?

Risk assessments should be run to identify potential issues that may arise during the model decommissioning process, allowing for proactive implementation of mitigation controls to minimize disruption or negative consequences.

What steps are necessary to maintain continuity with dependent systems?

To ensure continued operation, it’s crucial to manage service-level commitments and maintain regulatory compliance related to the affected systems, guaranteeing a smooth transition and ongoing functionality.

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