From initial documentation review to real-world validation, Onboard AI gives enterprise organizations everything they need to assess AI solutions with rigor, speed, and confidence.
As AI solutions increasingly power clinical, operational, and administrative workflows, healthcare organizations must move beyond developer claims and actively validate every tool they adopt. Onboard AI ensures your evaluations are grounded in evidence, not assumptions.
You need a centralized, structured system that drives asynchronous workflow clarity across silos.
Onboard AI enables recurring evaluations and AI management after deployment.
Trust, fairness, usability, and regulatory fit are just as important as precision. Onboard AI helps healthcare organizations assess all of these dimensions comprehensively and consistently.
Onboard AI helps you operationalize the most widely recognized frameworks in AI governance while supporting custom configuration to meet your organization’s unique evaluation needs. From established authorities to internal policies, we provide the structure to assess any model clearly and consistently.
Our assessments are grounded in trusted frameworks like CHAI, NIST, and ISO, aligning your evaluations with the latest guidance on fairness, explainability, robustness, and model accountability.
Leverage reusable deployment infrastructure with built-in private model evaluation tools to protect patient data from the start.
Programs are use-case driven series of assessments tailored to real-world application-- like third-party vendor procurement, internal AI development, or cross-department rollouts-- so you can align governance with strategic goals.
No two healthcare organizations are the same. Onboard AI lets you layer in your own requirements, whether clinical, operational, or legal to ensure internal standards are reflected across evaluations.
With Onboard AI, assessment isn’t a one-time paperwork review. It’s a continuous, end-to-end discipline built on deployment infrastructure, designed to support every phase of AI adoption with structure, transparency, and speed.
Once a developer uploads their model and documentation, Onboard AI automatically generates structured attestations and validation data while simultaneously preparing those attestations for streamlined analysis by healthcare organizations. Both sides move faster, with less back-and-forth.
A series of configured assessments are grouped into Programs tailored for different use cases like third-party vendor procurement, internal model development, and cross-department AI rollouts.
Healthcare organizations test models privately against real-world criteria—without sharing sensitive data or IP.
Onboard AI tracks model performance over time, issuing automated alerts for bias, drift, or risk signals. Oversight doesn’t end at go-live.
Most developers can produce a whitepaper or slide deck. But real trust comes from real-world testing. Onboard AI gives healthcare organizations the infrastructure to move beyond self-attestation and actively validate
Bias and fairness across demographics, cultural, historical, representation, confirmation, selection.
Data leakage & memorization risk, secondary use, regulatory compliance.
Deploy locally, test with your own data
Regulatory compliance readiness at go-live and beyond
By connecting documentation with live validation, Onboard AI enables you to assess not just what the developer says, but what the model does.
Onboard AI is committed to pushing the frontier of AI assessment best practices. We’re not just following evolving standards-- we’re helping shape them. Our platform is built on insights from the field and refined in collaboration with leaders across healthcare, research, and policy.
We apply best practices from a broad range of authoritative frameworks, from the Coalition for Health AI (CHAI) and align with the evolving guidance from NIST, ISO and emerging state + federal regulations.
We stay ahead of shifting federal and state regulations, so our partners don’t have to play catch-up.
We actively integrate learnings from academic research to strengthen how models are tested, validated, and monitored in the real world.
Start designing a best-in-class AI governance program in minutes using Authoritative Sources, or your own custom rules. No contracts, no IT lift, no risk.
Complete your AI compliance profile, generate buyer-facing attestations, and start sharing your validated model— all in one place.