Operationalizing the AI governance standard for insurance
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Insurance AI should be fair, explainable, compliant and auditable.
State insurance departments — guided by a growing set of frameworks, including the NAIC Model Bulletin on the Use of AI Systems by Insurers — are increasingly asking who is accountable and what documentation exists.
Most insurance company AI programs can’t answer that yet.
For every AI decision that affects a policyholder
Credo AI is built for all of them — and maps your AI governance to the frameworks that apply to each use case.
Underwriting & Risk Selection
AI-driven risk selection and external consumer data draw scrutiny over unfair discrimination and proxy variables. Governance must document data sources, bias testing, and accountability.
Pricing & Rating
Algorithmic pricing must stay explainable and non-discriminatory. Regulators expect clear documentation of model logic, third-party data usage, and rate justification.
Claims Handling & Adjudication
Automated triage and adjudication carry direct consumer-harm implications. Human oversight, exception handling, and audit trails are essential — not optional.
Fraud Detection & SIU
Fraud models flag individuals for adverse action, where false positives create real harm. AI governance must ensure transparency, appeal paths, and ongoing bias monitoring.
Watch the webinar with the NAIC
Practical, sourced guidance to move your insurance AI governance program from principles to operations.
What governance infrastructure looks like.
Six capabilities that turn AI Governance from a manual, spreadsheet‑driven process into infrastructure your whole organization can build on.
Centralized AI inventory
Every AI system — internal models, vendor tools, agents, embedded features — across underwriting, pricing, and claims in one place.
Automated risk tiering
High-risk use cases get deeper review. Low-risk ones move faster. No manual triage.
Continuous monitoring
Governance doesn’t stop at deployment. Track drift, model changes, and compliance over time.
Vendor & third-party AI oversight
Govern the AI and external data inside your vendor stack at scale — without hours per vendor.
Audit-ready documentation
When an examiner asks for evidence, the answer is a fit-for-purpose link — not a two-week project.
Role-based access & controls
Every reviewer, approver, and builder operates within defined permissions and accountability.
Govern AI at
every level of insurance
Book a 30-minute conversation with our team of forward-deployed AI governance experts.
Summary
Insurance enterprises are quickly adopting AI to help assess applicant risk, set premiums, process claims and flag suspicious activity. Making proper use of AI systems can reduce workload for insurance professionals significantly, but this carries risk. If an AI system makes a mistake, it can lead to unfair discrimination in underwriting, disparate outcomes in pricing or wrongly denied claims. Applying built-in AI Governance principles can significantly reduce these risks.
Credo AI provides a specialized AI Governance platform which serves as a trust layer for AI usage in insurance organizations. The award-winning AI Governance platform connects to all the AI systems insurers, underwriters and claims teams use to ensure the systems are compliant and trustworthy.
The Credo AI Governance Platform translates complex policies into actions, provides a complete audit trail, and acts as a complete system of record for AI risk.
Credo AI creates provable trust that helps insurance leaders say "yes" to AI innovation.
The trusted leader in AI governance. Helping enterprises govern agentic AI systems at scale.
