NAICAS provides a standards and certification framework for AI used in insurance operations. The program focuses on evidence requirements and decision workflows that support onboarding and governance reviews.
Certification levels align to scope and authority, from data intake to end-to-end operational workflows.
A common structure for how AI workflows are described, documented, reviewed, and maintained.
Supports consistent disclosures and recordkeeping for automated interactions in insurance workflows.
Provides a consistent way to document AI-assisted workflows and present evidence for carrier review.
A consistent workflow for onboarding decisions and internal review of AI systems used across insurance operations.
A standardized evidence package and certification scope definition that supports carrier onboarding reviews.
Review artifacts and documentation that support examination, inquiry, and incident follow-up.
Scope, requirements, and technical expectations are published in the program materials.
Key points in the program’s development.
During 2024, planning focused on the growth of AI capability and increasing use across agencies, vendors, and carriers.
NAICAS formed as a standards and certification framework centered on evidence, decision workflows, and audit-ready records for insurance AI.
As agentic systems became mainstream, insurance workflows needed clearer scope boundaries, documented controls, and consistent review outcomes.
The program is building the certification portal and publishing materials that support onboarding and certification decisions.