AI you can trust in clinical and regulated environments

Swept AI provides healthcare organizations with a real-time supervision and policy enforcement layer for AI assistants, clinical decision tools, triage agents, and patient-facing experiences.

Trusted by digital health platforms, care delivery networks, payers, and clinical operations teams modernizing with AI.

University of Michigan
CMURO
United Way
Vertical Insure
Forma Health
Swept AI Healthcare Agents Dashboard

Why healthcare needs more than baseline AI safety

Clinical and regulatory risk icon

Clinical and regulatory risk

AI variability can create unsafe advice, hallucinated clinical facts, and policy-breaking recommendations, which increase patient risk and regulatory exposure.

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Lack of auditability and accountability

Healthcare teams need full traceability for every AI-supported recommendation, triage action, or patient-facing answer.

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Real-world diversity and drift

Models break on messy patient data, dialects, accents, symptom ambiguity, and rare cases. Pre-release tests do not capture the long tail of real patient interactions.

Swept AI gives healthcare teams confidence that AI behaves consistently, safely, and within clinical and regulatory boundaries.

A supervision and governance layer
built for healthcare AI

Clinical Safety Assurance icon

Clinical Safety Assurance

Check AI outputs for factual accuracy, drift, guideline adherence, and unsafe reasoning.

Clinical Safety Assurance visualization
Operational Reliability icon

Operational Reliability

Monitor AI systems for escalation rates, consistency, cost, and performance across patient cohorts.

Operational Reliability visualization
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Regulatory and Compliance Control

Enforce HIPAA-aligned behavior, audit logs, PII handling rules, and organization policies at runtime.

Regulatory and Compliance Control visualization
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Human-Centered Oversight

Use targeted reviews and approval steps for higher-risk actions, minimizing clinician workload while preserving accountability.

Human-Centered Oversight visualization

How Swept AI Works

Evaluate Screenshot
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Evaluate

Role aware synthetic tests set a clear quality bar before rollout, compare models, define thresholds, quantify accuracy, safety, and bias.

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Supervise Screenshot
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Supervise

Watch real usage after go live, detect drift, variance, and safety issues, route actionable insights to owners.

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Certify Screenshot
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Certify

Publish shareable proof that reviewers and stakeholders understand, private links and exportable artifacts for audits.

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Where Swept delivers impact in healthcare

Triage and Symptom Assessment icon

Triage and Symptom Assessment

Prevent unsafe or speculative recommendations. Identify guideline drift and escalating risk patterns in real time.

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Digital Health Product Safety

Supervise conversational care products, remote-monitoring agents, and at-home guidance tools for consistency and privacy behavior.

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Internal Clinical Assistants

Ensure internal copilots deliver reliable summaries, safe clinical interpretations, and protected-health-information hygiene.

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Care Navigation and Patient Support Bots

Guarantee accurate, policy-compliant guidance for appointments, medications, follow-ups, and benefits.

Security, safety, and clinical-grade governance

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Clinical Safety and Quality Controls

  • Medical fact consistency checks
  • Drift detection and long-tail pattern identification
  • Escalation quality measurement
  • Repeatability analysis across patient cohorts
  • Safety policy enforcement (dose references, contraindications, prohibited topics)
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Governance and Compliance

  • HIPAA-aligned data redaction and PII masking
  • Full audit trails
  • Environment versioning and role-based approvals
  • AI-driven policy enforcement for risky actions
  • Zero retention options for sensitive content

Move from AI promise to proof.

Run a free evaluation, supervise in production, and share proof with reviewers.

Talk to our team