Pilot Governance

Pilot governance refers to establishing AI governance processes, controls, and oversight mechanisms in limited organizational scope before organization-wide rollout. This approach allows enterprises to test policies, tools, and workflows with manageable risk exposure while gathering practical insights that inform broader implementation. For compliance teams, pilot governance validates that chosen governance frameworks actually work in production environments and helps identify resource needs, skills gaps, and process refinements before scaling to the entire enterprise.

1 item

ResearchUK2026-08-24

NHS Trust Pilot Governance Framework Offers a Template for Regulated AI Deployments

NHS Digital Regulations Innovation published a case study describing how an NHS Trust built a structured implementation and governance framework for AI pilot studies, led by a consultant radiologist. The framework covers local approval processes, oversight mechanisms, and controlled evaluation before scaling to production. Compliance teams in healthcare and other regulated industries can use it as a reference model for governing AI pilots that handle sensitive data or inform clinical decisions.

NHS healthcare pilot governance clinical AI pre-production controls UK radiology