Case Study: Iterative Health achieves secure, auditable AI governance with CloudEagle

Iterative Health governs 500+ AI apps 60% faster with CloudEagle

Iterative Health faced a challenge with the inconsistent and ad-hoc governance of AI tools adopted across its teams. There was no clear ownership for approving usage tied to sensitive data, and manual reviews could not ensure that AI access aligned with internal policies, creating significant risk. The company turned to CloudEagle and its CloudEagle.ai platform to solve this problem.

CloudEagle implemented a solution that applied policy-based controls to govern AI tool access based on role, purpose, and data sensitivity. This provided automated, real-time enforcement and continuous monitoring. As a result, Iterative Health governed over 500 AI apps, achieved 60% faster AI approvals, and gained 100% audit coverage. The solution eliminated shadow IT, reduced risk, and gave leadership confidence in their AI governance.

Iterative Health