AXME
Deploy AI agents in healthcare with the safety guardrails and audit trail HIPAA requires
Healthcare organizations can't deploy AI agents without demonstrable controls over data access, decision logging, and human oversight — HIPAA requires it, and patient safety demands it.
AXME provides the governance infrastructure for healthcare AI agents — HIPAA-compliant audit logging, mandatory human approval gates for clinical decisions, and policy enforcement for data scope.
Industry content describes how teams commonly apply AXME for governance and audit workflows. It does not constitute legal, regulatory, or medical advice. Work with qualified compliance counsel to map controls to your obligations (HIPAA, SOC 2, MiFID II, Basel III, etc.).
Healthcare organizations cannot deploy clinical or operational agents without controls over data access, decision logging, and human oversight — HIPAA and patient safety require it.
USE CASES
Where agents deliver value.
Scheduling
Coordinate appointments with policy bounds.
Diagnostic support
Assist clinicians; physician signs off.
Prior authorization
Durable waits for payer responses.
Clinical documentation
Draft notes; provider reviews.
HIPAA and audit
Immutable audit logs answer who accessed which record through which tool call. Data-scope policies block agents from querying outside assigned patients. Clinical paths use mandatory HITL — not post-hoc chart review of model output alone.
GOVERNANCE
How AXME supports compliance.
Pattern: prior authorization agent
Agent submits payer request → WAITING_FOR_TOOL → physician approval if clinical criteria met → audit for chart.
Industry content describes how teams commonly apply AXME for governance and audit workflows. It does not constitute legal, regulatory, or medical advice. Work with qualified compliance counsel to map controls to your obligations (HIPAA, SOC 2, MiFID II, Basel III, etc.).
Related reading
Deeper dives from the AXME blog.
How to Add Human Approval to AI Agent Workflows Without Building It Yourself
Adding a human approval step to an AI agent workflow means building a notification service, reminder scheduler, escalation chain, and webhook handler. Or you can use 4 lines of code.
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AI agents ignore restrictions in prompts. Gateway-enforced action policies block unauthorized actions before they reach the agent - no prompt injection can bypass it.
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