Pipeline
event → structure → control mapping → auditor narrative
Healthcare RCM audit evidence
Audit evidence for healthcare RCM workflows.
AuditLayer converts AI-driven healthcare RCM activity into structured evidence artifacts mapped to HIPAA, SOC 2, and EU AI Act controls.
Why this matters
Compliance teams need more than logs.
Healthcare teams are starting to use AI workflows for coding, prior authorization, denial appeals, and QA. Compliance teams still need a clear auditor narrative: what happened, why it happened, what data was touched, and which control it supports.
AuditLayer gives them that artifact.
What it produces
From event to evidence artifact.
Timestamped action records
Each AI action becomes a structured record with actor, workflow, tenant, resource, outcome, and time.
Framework mapping
Records are mapped to HIPAA, SOC 2, and EU AI Act controls in language a reviewer can follow.
Audit pack PDF
A reviewable export turns raw activity into a concise evidence artifact for compliance review.
Tenant-level separation
Healthcare RCM teams can show which customer environment generated which action records.
Reference implementation
Built to be inspected.
The current reference implementation includes an ingestion endpoint, JSON evidence schema, healthcare RCM demo data, dashboard summary, evidence drawer, HIPAA audit pack PDF, and public schema repo.
Public spec
github.com/DeuceAllMighty/auditlayer-specBuilt for healthcare RCM
Initial workflows.
Autonomous coding
Prior authorization
Denial appeals
Coding QA
3 design partner slots
Review the evidence format before your next customer, SOC 2, or HIPAA review.
The ask is simple: 20 minutes of feedback on whether the sample audit pack matches what your compliance team or auditor would expect.