Claims adjudication
Auto-pay or deny carries bad-faith exposure — needs default-deny plus human approval on payouts and a full audit.
Industry · Insurance
Ship claims and underwriting agents with a record you can defend.
An underwriting or claims agent made a biased or wrong decision at scale, and you can't show the regulator a clean, explainable record of why.
Claims and underwriting agents are already in production, and the NAIC Model Bulletin — adopted by most states — demands documented accountability, third-party oversight, and explainability. Nolixan's signed, diffable authority and provable receipts are exactly that record.
Regulation → control
The frameworks you answer to, mapped to what Nolixan enforces.
NAIC Model Bulletin on AI
Documented governance, accountability, and third-party oversight — signed authority + audit.
Explainable-AI underwriting
Signed, diffable policy lineage + per-decision receipts that show why an action ran.
State high-risk AI statutes
Default-deny on consequential writes + a verifiable decision trail (confirm each state's current effective date).
GLBA / HIPAA (health lines)
PII and PHI redaction for health-insurance workflows.
Controls are mapped to exact source evidence and machine-checked in CI — see the live compliance map.
Where it lands
Governed agents for insurance.
Underwriting & pricing
Algorithmic-discrimination risk demands a provable, diffable decision lineage.
Fraud detection
Reads PII and (for health lines) PHI — DLP redaction before processing.
Policyholder servicing
Write access to policy-admin systems needs policy-shaped discovery and JIT credentials.
Why Nolixan here
The controls that matter most in your industry.
Signed, diffable authority
Every policy change is a versioned, signed snapshot, and each decision yields a receipt — the documented accountability the NAIC bulletin asks for.
Default-deny on consequential writes
No autonomous claim payout or denial without an explicit allow and, where set, a human approval.
Content-level redaction
PII and PHI are stripped before a model or a downstream system sees them.
Separation of duties
The agent that recommends a payout isn't the one that releases it.
Bring agents to insurance — provably governed.
Self-host inside your boundary or run managed. Start in monitor mode, prove the controls, then enforce.