AI governance, purpose-built for healthcare.
Clinical AI should be ethical, safe, secure, and auditable.
Most healthcare AI programs can't answer that yet.
For every AI decision that affects a patient outcome.
One platform — four segments. Each maps to the regulations, workflows, and oversight model that apply where AI actually meets the patient.
Health systems & providers
Clinical AI carries direct patient safety implications. Governance must be continuous, documented, and audit-ready — not just a pre-deployment checkbox.
Health plans & payers
AI-driven prior auth and claims decisions face direct CMS scrutiny. Explainability and non-discrimination documentation are table stakes.
Life sciences
AI in drug discovery and clinical trials requires dual accountability: internal R&D governance and external regulatory defensibility.
MedTech & medical devices
Device AI faces the strictest regulatory classification in any sector. Governance must extend through the full device lifecycle, including post-market updates.
Read the playbooks for healthcare AI Governance
Practical, sourced guidance to move your healthcare AI governance program from principles to operations.
Clinical-grade AI Governance foundations
Six capabilities that turn AI Governance from a manual, spreadsheet‑driven process into infrastructure your whole organization can build on.
Centralized AI inventory
Every AI system — internal builds, vendor tools, embedded features — in one place.
Automated risk tiering
High-risk use cases get deeper review. Low-risk ones move faster. No manual triage.
Continuous monitoring
Governance doesn't stop at deployment. Track drift, changes, and compliance over time.
Vendor AI oversight
Govern the AI inside your vendor stack at scale — without hours per vendor.
Audit-ready documentation
When an auditor asks for evidence, the answer is a link — not a two-week project.
Role-based access & controls
Every reviewer, approver, and builder operates within defined permissions.
Govern AI at
every level of care
Book a 30-minute conversation with our team of forward-deployed AI Governance experts.
Frequently Asked Questions
Here you can find the most common questions.
What does the platform handle natively versus through your other systems?
Credo AI natively provides policy management, AI inventory and model cards, risk categorization and assessment workflows, the evidence and audit layer, approval gates, and monitoring dashboards. It connects through integrations for incident routing (e.g., ServiceNow), training and attestation (LMS), and monitoring signals (e.g., MLflow, Azure). Functions like HR and legal enforcement, external blinded reporting, patient-facing disclosures and consent, and HIPAA de-identification are executed in your own systems — across all of it, Credo AI’s role is to define, track, and audit controls and trigger workflows to where the work actually happens.
Does Credo AI de-identify HIPAA / PHI data?
No; Credo AI governs the de-identification requirement but does not perform it. It does not validate de-identification, select HIPAA methods (Safe Harbor or Expert Determination), execute de-identification, or perform Expert Determinations; those are carried out by your data platforms, privacy teams, or qualified third-party experts. What Credo AI does is treat privacy as a core AI risk, mapping the requirement to policy, routing it to the right stakeholders, collecting evidence that it occurred, and reassessing re-identification risk as datasets change.
Does Credo AI perform risk remediation?
No; Credo AI manages the remediation process, it does not execute remediation itself. The platform identifies when risks are not sufficiently mitigated, recommends or assigns the right controls, routes them to compliance, legal, and clinical stakeholders, and tracks action items to completion before a system is approved. The remediation work itself, including model changes, control implementation, operational fixes, happen in your own systems, while Credo AI ensures it is required, tracked, verified, and auditable.
What is Credo AI’s role in healthcare AI Governance?
Credo AI is a system of record and orchestration layer for AI Governance. It operationalizes healthcare policy requirements, giving healthcare organizations one place to define, track, and audit controls across the AI lifecycle. Rather than replacing your clinical, data, or HR systems, it integrates with, inventories, and enforces governance across them.
Summary
Healthcare enterprises are quickly adopting Artificial Intelligence (AI) to handle complicated health-related tasks. AI can help diagnose diseases, process medical records and organize complex data. Making proper use of AI systems can reduce workload for healthcare professionals significantly, but using AI carries risk. If an AI system makes a mistake, it can have serious consequences for patient safety and privacy. Applying built-in AI Governance principles can significantly reduce these risks.
Credo AI provides a specialized AI Governance platform which serves as an all-in-one control center for AI usage in Healthcare organizations. The award-winning AI Governance platform is like a layer of management that sits on top of all the AI systems hospitals, pharmaceutical companies or healthcare professionals use to ensure the systems are safe, secure and trustworthy.
The dedicated AI Governance platform provides healthcare organizations with complete oversight, a tool for translating complex policies into actions, a complete audit trail, automatic risk intelligence and a complete system or record.
Credo AI creates provable trust that helps healthcare leaders say "yes" to AI innovation.
The trusted leader in AI governance. Helping enterprises govern agentic AI systems at scale.
