Evidence-based AI for high-stakes decisions
Chief Health AI helps organizations translate evidence into testable claims, deployment plans, and monitoring signals. We're building the discipline of evidence-based AI for high-stakes decisions across healthcare and life sciences.
We don't sell AI tools. We help you decide what to trust, how to test it, and how to monitor it over time.
Every decision starts with: claim → evidence → limitations → what would change our mind
Not static reports. A structured workspace with an AI layer that answers questions on demand as evidence evolves.
Evaluation and monitoring plans designed to survive real workflows, model drift, and organizational constraints.
Example: Build an EvidenceAtlas covering claims about burnout reduction, documentation time, and efficiency—with limitations and monitoring requirements clearly mapped.
View EvidenceAtlas →Example: Create EvidenceCards on accuracy claims, workflow fit, and regulatory implications to inform procurement and pilot design.
Example: Develop EvidenceBench plans defining what to measure pre-deployment and how to monitor for drift, bias, and safety signals post-launch.