Every week, new AI models promise earlier detection, faster decisions, and dramatic reductions in friction across care delivery. These models are entering hospital orbits from external vendors, internal projects and all the existing enterprise tools releasing AI features around the clock.
And yet, the real bottleneck to progress isn’t the technology.
Health systems want to innovate, but they are also the last line of defense for patient safety, equity, privacy, and clinical integrity. AI brings extraordinary potential, but it also introduces novel risks—opaque decision pathways, shifting performance over time, variable vendor maturity, regulatory uncertainty, and the very real possibility that a model performing well today may not tomorrow.
Behind every AI tool adopted by a hospital lies an unspoken question:
How do we ensure this is safe—not just now, but continuously?
This moment requires more than enthusiasm for innovation. It requires a new governance architecture—one that is rigorous enough to protect patients, yet flexible enough to support rapid innovation; transparent enough to inspire confidence, yet automated enough to scale.
That’s why we’re so excited about today’s announcement.
We’re proud to share that Onboard AI is partnering with Cedars-Sinai Medical Center, alongside a $2.5M investment, to deploy the first fully automated, AI-native governance platform built specifically to evaluate, approve, and manage AI solutions across their lifecycle.
This is not simply a technology deployment—it is a recognition that the future of AI in healthcare depends on a new form of infrastructure: one that replaces manual vigilance with continuous assurance, transforms fragmented workflows into unified oversight, and makes it possible for health systems to adopt AI safely, responsibly, and at scale.
What follows is how we’re doing it—together.
Health systems are now inundated with AI tools. But behind the scenes, AI governance teams face an overwhelming workload:
Traditional governance methods cannot support modern AI adoption. Hospitals risk moving too slowly—or worse, approving AI systems without appropriate controls.
Onboard AI was built for a simple purpose:
Help every health system safely adopt AI at scale by giving them a modern, automated governance infrastructure built for the AI era.
Our mission is to enable hospitals to:
AI is transforming healthcare. The way we manage it must transform as well.
Together with Cedars-Sinai, Onboard AI is deploying the first AI-native governance platform that automates every stage of the evaluation, approval, and lifecycle management process.
Our engine reads and scores vendor documentation in minutes—not weeks—against AI-specific risk domains like:
Cedars-Sinai can consistently identify gaps, risks, and required mitigations for each AI tool in process with an automated tool.
Instead of scattered email threads and monthly governance meetings, AI Committee teams get:
Every stakeholder sees exactly what they need—nothing more, nothing less.
Post-approval oversight is where AI governance historically breaks down.
Onboard AI provides:
This ensures that approved tools stay safe, effective, and compliant across their lifecycle.
AI developers interact with a guided “compliance workspace” to produce audit-ready documentation and reduce back-and-forth with buyer committees—dramatically shortening procurement cycles.
OnboardAI maintains a dataroom for vendors that can be used with any inbound AI Questionnaire to autofill and submit in minutes.
Since founding, we’ve seen rapid momentum:
The industry is converging around the need for a neutral, automated governance layer—and Onboard AI is on its way to becoming that platform.
AI governance tools exist, but none were designed to automate and emulate the thoughtful, established AI Governance processes that are becoming more standard everyday. Onboard AI stands apart because:
Our platform automates work that previously required coordinators, clinicians, and IT professionals spending hours in documents.
From initial intake → risk triage → evaluation → approval → deployment → life cycle management → re-certification.
One platform. One source of truth.
This creates a shared language, reduces friction, and accelerates safe adoption.
We embed clinical, privacy, safety, fairness, and regulatory frameworks tailored for healthcare organizations—not generic enterprise AI governance.
We don’t add more work—we automate it. Quite simply, that’s our mission.
We’re proud of what we’ve built thus far and our commercial agreement with Cedars-Sinai is the evidence we needed to double down on what’s working. We’d love to talk to you about using our platform for less than the cost of 1 full-time employee.
