AI Risk Review for Healthcare
Independent AI risk assessments for clinical decision support, diagnostic tools, and patient-facing AI. Get evidence-backed findings and governance clarity for regulators, boards, and partners.
AI risk assessment built for Healthcare
Healthcare and life sciences organizations are deploying AI for diagnostic support, clinical documentation, patient triage, and operational workflows. When these systems interact with protected health information or influence care decisions, the stakes are high: patient safety, regulatory compliance (HIPAA, EU AI Act, FDA considerations), and institutional liability. Boards and compliance teams need to show that AI systems have been assessed for security, bias, and governance, and that evidence must stand up to reviewers and regulators.
RiskReview.AI delivers fixed-scope, evidence-backed AI risk reviews for healthcare. We assess your AI systems against relevant frameworks (including the EU AI Act (high-risk medical devices and related use cases), NIST AI RMF, and governance expectations) and provide findings, a remediation roadmap, and an AI Risk Certificate. Our team includes practitioners who understand both AI security and the regulatory context of healthcare, so you get actionable risk visibility and deliverables suitable for board and compliance use.
Why healthcare needs independent AI risk assessment
Clinical decision support and diagnostic tools that use AI can introduce harm if models are biased, poorly validated, or vulnerable to manipulation. Patient data flowing through LLM APIs or third-party models raises HIPAA and consent issues unless data handling and de-identification are explicitly assessed. Operational AI (scheduling, documentation, triage) still touches sensitive data and process integrity; regulators and partners want to know how you govern and test these systems.
Common gaps we see: AI systems deployed without documented validation or bias review, PHI exposed in prompts or logs, and no independent security testing (e.g. prompt injection or access abuse) before production. An independent review gives you a clear baseline: what was in scope, what we tested, what we found, and what you are doing to remediate. That evidence supports board reporting, compliance programs, and discussions with regulators and partners.
When to choose an AI risk review
Choose an AI risk review when you are preparing for a board or review committee request, a regulatory or accreditation review, or a partner or purchaser's due diligence. Many healthcare organizations use our Full AI Risk Review to document AI governance and to satisfy vendor and security questionnaires. The AI Snapshot Review is a good first step if you have a small number of systems and need a fast risk picture. The Continuous AI Risk Program is for organizations that need ongoing visibility and annual recertification.
Packages
We offer three packages to match your stage. The AI Snapshot Review ($15,000 USD) covers 2–3 AI systems in about two weeks. The Full AI Risk Review (from $65,000) includes a complete assessment, security testing, compliance readiness, and an AI Risk Certificate. The Continuous AI Risk Program (from $120,000/year) adds quarterly reassessments and annual recertification. Pricing is fixed after a scoping call; there are no hidden fees. Payment terms are typically 50% to start and 50% on delivery of the final report and certificate.
AI Snapshot Review
$15,000 USD
2 weeks
Focused assessment of 2–3 AI systems with core security and governance. Ideal for getting a clear risk picture quickly.
Full AI Risk Review
From $65,000
4–6 weeks
Complete assessment of all AI systems with security testing, compliance readiness, and an AI Risk Certificate. Our most popular package.
Continuous AI Risk Program
From $120,000/year
Annual
Initial full review plus quarterly reassessments and annual recertification. Ongoing visibility and procurement support.
Process
Scoping & statement of work
We agree on which AI systems are in scope, data categories, compliance targets (e.g. EU AI Act, ISO 42001, sector rules), and timeline. You receive a fixed-scope statement of work and a clear proposal. No scope creep once we start.
Discovery & inventory
We build a complete inventory of in-scope AI systems: purpose, data flows, integrations, model provenance, and deployment. Data flow and retention are documented so we can assess governance and compliance.
Security testing
We run hands-on security testing tailored to AI systems: prompt injection, access control, API and integration exposure, and configuration review. Findings are evidence-backed and severity-rated.
Compliance & governance assessment
We score your posture against your target frameworks (e.g. EU AI Act, NIST AI RMF) and review governance, policies, and procedures. Gaps are documented with remediation guidance.
Reporting & certification
You receive a full report with findings, compliance readiness score, and a prioritized remediation roadmap. We issue an AI Risk Certificate and a board/regulator-ready summary. Optional executive and technical walkthroughs.