As healthcare AI expands, Citadel AI monitoring ensures consistently safe, reliable results enterprise-wide.
As healthcare organizations continue to deploy AI, the stakes get higher if something goes wrong. But oversight has not scaled with adoption: most systems are reviewed once, by hand, before go-live — and rarely watched closely after.
Physician use of AI has more than doubled since 2023, with no standard way to evaluate risk first.
Bias testing and drift monitoring still run on spreadsheets. That does not scale as AI expands.
Vendor documentation provides only part of the picture. Health systems need independent evidence that AI performs safely in their own populations and workflows.
When harm occurs, health systems may need to demonstrate how an AI tool was evaluated, monitored and managed. An auditable record of testing, escalation and remediation helps demonstrate reasonable oversight.
Source: AMA, 2026
Citadel AI closes the loop: evaluate before deployment, protect in production, and keep the record auditable.
faster safe adoption of clinical AI.
less manual monitoring effort.
system of record for every model.
One inventory for every AI system across your health system.
Quantify the risk of every AI model before it reaches patient care.
A real-time AI firewall that stops risky inputs and outputs before they reach clinicians or patients.
Keep an audit-ready record of every AI system, from review to production.
BSI (British Standards Institution): Following a year-long technical evaluation, BSI selected Citadel AI from among 54 companies worldwide and adopted its technology as a technical and regulatory assessment tool for high-risk AI systems.
ONO PHARMA: Lens continuously validates the quality of generative AI used across the company, helping maintain response accuracy, identify risks early, and create a safer environment for AI adoption.
