Assurance for clinical and administrative AI.
From ambient scribes to prior-authorization copilots, SafeFlow measures operational failure risk on realistic clinical inputs — giving CMIOs, quality teams, and health-tech vendors defensible evidence before deployment.
High-stakes AI systems that need evidence, not intuition.
Ambient clinical documentation
Stress-test scribe and summarization systems for omission, hallucination, and coding-relevant errors.
Prior authorization and coding
Measure error and drift exposure on realistic case distributions before payer or provider deployment.
Clinical decision-support copilots
Independent reliability profiling for retrieval-augmented clinical assistants and knowledge tools.
Patient-facing chat and triage
Quantify unsafe advice risk, refusal behavior, and escalation reliability on production-representative dialogues.
Revenue cycle and operations
AI in billing, appeals, and scheduling — measured for operational failure modes that affect patients and payers.
Health-tech vendor assurance
Third-party evidence packages health-tech vendors can share with health-system customers and auditors.
What SafeFlow delivers.
SafeFlow produces the evidence your executives, auditors, customers, and regulators need to trust an AI deployment decision.
- Operational risk evidence for clinical governance committees
- Reliability profiles on realistic clinical prompt distributions
- Validated controls that reduce measured failure risk
- Deployment recommendations backed by evidence
- Third-party assurance packages for hospital and payer customers
- Bilingual reporting for international health systems
Your AI Assurance Report.
A governance-ready document your team can share with executives, auditors, and supervisors — with evidence, recommendations, and a defensible deployment decision.
Explore the report- Clinical governance summary
- Failure taxonomy with reproducible clinical examples
- Operational risk quantification and projected incidents
- Validated system-prompt and workflow controls
- Residual risk and deployment recommendation
- Ongoing re-validation cadence
Request a healthcare demo.
Tell us about your deployment context. We reply within 1–2 business days.