Checklist for Deployment Gateways
Model Approval Workflow for Regulated Industries
An interactive checklist designed to guide AI practitioners in regulated industries through essential model approval steps before deployment, ensuring compliance with industry standards and reducing model risk.
Regulated industries face strict requirements when deploying AI models, driven by regulations such as FDA guidance for medical devices, SEC rules for financial services, and GDPR for data privacy. This interactive checklist supports platform engineering leads and AI governance teams in structuring a compliant, replicable model approval workflow.
Use this checklist to assess readiness at key deployment gateways, from initial validation to post-deployment monitoring. Each step reflects best practices synthesized from industry frameworks including NIST AI Risk Management Framework and recommendations from the Model Risk Management guidelines issued by the Federal Reserve.
Inputs
Select the primary function or domain of the AI model
Select all regulatory frameworks applicable to your deployment
Result
(model_validation_completed == 'yes' ? 20 : 0) + (third_party_audit == 'yes' ? 20 : 0) + (explainability_assessment == 'yes' ? 15 : 0) + (data_governance_check == 'yes' ? 15 : 0) + (deployment_approval == 'yes' ? 20 : 0) + (post_deployment_monitoring_plan == 'yes' ? 10 : 0)Model Deployment Approval Status
Best practice
A full model approval workflow in regulated industries should integrate automated validation tooling, formalized risk committees, and documentation archival for audit readiness. Quarterly reassessments optimize ongoing compliance.
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