01
Confabulation Containment
Controls that keep model outputs grounded and bounded.
AI Governance for Life & Annuity Carriers
Is your agentic AI defensible to regulators — and ready for production?
An independent assessment practice built specifically for L&A carriers deploying agentic and generative AI. We tell you where your governance actually stands against NIST AI RMF, ISO 42001, and emerging NAIC and NYDFS expectations — and exactly what to fix first.
01 — The Problem
Carriers are shipping agentic AI faster than they can govern it.
Agentic systems are moving into underwriting, servicing, and claims-adjacent workflows — but the controls that make them defensible rarely ship with them.
Regulators are converging: NIST AI RMF, ISO 42001, NAIC model bulletins, NYDFS expectations, plus HIPAA and GLBA obligations that don't disappear because the system is "AI."
The hardest line to manage is the boundary between deterministic systems of record and non-deterministic agents — and most teams have no shared framework for governing it.
The gap is not capability. It's governance you can prove.
02 — The Framework
A purpose-built assessment for production AI in L&A.
A structured, evidence-based maturity assessment designed for the realities of multi-carrier L&A platforms — not a generic AI checklist.
01
Inputs
Architecture, model usage, data flows, existing controls.
02
Assessment
Structured evaluation across control families and a defined maturity ladder.
03
Outputs
Maturity scorecard, findings, prioritized remediation roadmap.
What we evaluate.
02
Content Provenance
Traceability and integrity of AI-generated content.
03
Foundation Model & Vendor Risk
Governing dependence on third-party models.
04
Data Protection & PII Handling
Safeguarding sensitive policyholder data across the AI pipeline.
05
Deterministic–Agentic Boundary
Governing where agents act vs. where systems of record decide.
06
Operational Readiness & Monitoring
Controls for running AI safely in production.
Each family is assessed across a five-level maturity ladder, anchored to NIST AI RMF, ISO 42001, and OWASP LLM/Agentic guidance.
03 — What you get
Clear, board-ready outputs.
Maturity Scorecard
Where you stand across every control family, at a glance.
Findings Report
Prioritized, evidence-based, written for both engineers and executives.
Remediation Roadmap
A sequenced plan of what to fix, in what order, and why.
Sample artifacts shown redacted.
04 — Proof & credibility
Built from real enterprise delivery.
[$X]M+
annual savings
Enterprise Integration
[X]M+
policies served
Enterprise Data Lakehouse
By design
compliance risk eliminated
Enterprise Customer Communications
Led by a Chief Architect with 25+ years in L&A insurance technology. FLMI · AIGP · AWS Solutions Architect.
Sample assessment
See a complete sample assessment.
Download a full redacted findings report for a fictional carrier, "Meridian Life & Annuity."
05 — Engagement ladder
Engagement models.
Lean
A focused assessment of a single agentic system or workflow.
Request Scoping →Standard
RecommendedA full multi-family assessment with findings and remediation roadmap.
Request Scoping →Comprehensive
Enterprise assessment plus advisory support through remediation.
Request Scoping →