Scaling AI in Regulated Sectors

Using healthcare manufacturing as the main example, explain how AI can reshape highly regulated production lines, from process optimization and quality assurance to traceability and compliance. Then broaden the analysis to other sectors where AI adoption must coexist with safety, ethics, and regulation. Include the main trade-offs between speed, reliability, data governance, and human oversight, and suggest what leaders should measure before deploying AI at scale.