AI compliance for healthcare.
Scenario-based. Anonymized. Actionable. An assessment that reveals your team's real AI safety knowledge. With a readiness report you can take to leadership.
No credit card. No sales call. Results in your inbox the same day.
How the assessment works
Your team takes a scenario-based assessment
Clinicians and staff answer scenario-based questions covering PHI identification, safe AI usage, policy awareness, and incident response. Your team interacts with the Three Gates detection engine as they go.
You get an anonymized readiness report
Results are aggregated with k-anonymity protections and regulatory citations. The report is ready when 5 employees complete. No individual scores are ever exposed.
Each gap maps to a specific requirement
Each gap maps to a specific HIPAA or ONC requirement. With a clear remediation path. Share the report with leadership to justify action.
See what your report looks like
Every organization that completes the assessment gets a report like this. With real scores, regulatory citations, and prioritized recommendations.
AI Readiness Report. Sample
Overall Readiness: 74/100
This organization shows developing readiness across four assessed categories. Two categories fall below their regulatory targets.
Not Ready
0–39
Emerging
40–59
Developing
60–79
Proficient
80–100
Category Breakdown
Scores vs. HIPAA-derived targets. Each target reflects minimum competency for the cited regulation.
Baseline Measurement
These scores reflect your team's existing knowledge. Before any training or intervention. Use them to measure the true impact of your remediation efforts.
Priority Findings
PHI Identification below §164.502(a) target
62% of clinical staff correctly identified PHI in AI prompt scenarios, against an 85% target derived from the HIPAA minimum necessary standard. Recommend targeted training on PHI boundaries in AI interactions.
Policy Awareness exceeds target
84% of staff demonstrated awareness of organizational AI policies. Above the 75% target. Current training and policy communication are effective in this area.
Healthcare-specific AI workflows
Three Gates routes clinical AI workloads with PHI tokenization, BAA-covered providers, and a full audit trail. Built for hospitals, health systems, and large practices.
Clinical Documentation
Generate clinical notes, discharge summaries, and progress notes from visit recordings or dictation. Detected PHI tokenized before AI invocation, with full audit trail.
Patient Summaries
Synthesize patient history from multiple sources into concise, actionable summaries for care teams.
Care Coordination
Draft referral letters, transition-of-care documents, and care plan updates with PHI-aware AI.
Medical Record Analysis
Extract findings, medications, diagnoses, and procedures from unstructured medical records. With full audit trail.
Healthcare solutions
Each capability is independently deployable and contracts cleanly with your existing stack.
PHI Detection
A multi-layer cascade scans text and images for PHI, PII, and clinical identifiers in real time.
Audit Logging
Immutable, multi-framework audit trail. One feed for HIPAA Security Rule support and incident reconstruction.
Secure AI Chat
Detected PHI tokenized before AI invocation, with policy enforcement, browser extension, and BAA-covered providers.
RBAC & Purpose Scopes
Org-aware role-based access control with purpose-of-use binding for every request.
Compliance Automation
Scheduled reports, risk event detection, and executive summaries. Generated automatically.
81% of U.S. physicians now use AI in their practice.
AMA Physician Survey on Augmented Intelligence, 2026. More than double the 38% adoption rate reported in 2023.
Shadow AI isn't a future problem. It's happening now. Common physician use cases include clinical documentation, chart summarization, and assistive diagnosis. Workflows that by definition involve patient data. Staff are using ChatGPT, Copilot, and other consumer AI tools because nobody gave them a safe alternative.
The question isn't whether your team is using AI. It's whether you know how.