New York Life: AI efforts
New York Life, the largest US mutual life insurer, has one of the more mature enterprise-AI programmes among US life carriers — anchored by its Center for Data Science & Artificial Intelligence (CDSAi) and a multi-cloud, multi-model strategy. Part of InsureBench's overview of AI in insurance; every figure is sourced.
Where New York Life ranks on AI
New York Life is featured in the 2026 Evident AI Index for Insurance.5 Its AI sits on a dual-cloud, multi-model stack — AWS / Amazon Bedrock for its data-and-gen-AI platform and Microsoft 365 Copilot for productivity — accessing OpenAI, Anthropic and Meta models.3
It has built a sizable AI & Data organisation under a Chief Data and Analytics Officer, and emphasises explainable, human-in-the-loop models — especially in underwriting.3
NA/Europe insurers
The AI build-out
From an early data-science centre to gen-AI in production and a deep AI leadership bench.
CDSAi established
New York Life stands up its Center for Data Science & Artificial Intelligence.6
Hybrid AI underwriting
AI models plus human underwriters, enhanced by electronic health records, underwrite 65% of life apps without fluids at the pandemic peak.4
Chief Data & AI Officer
Don Vu is hired as Chief Data and Analytics Officer; a GenAI steering committee is formed.1
Gen-AI in production
Service Sage (on AWS Bedrock) cuts hold time ~19% over ~110,000 questions; Microsoft 365 Copilot reaches ~13,000 employees.2
Norm Ai compliance
New York Life partners with Norm Ai to use "Regulatory AI" agents to review sales and marketing content.7
Evident AI Index
New York Life is featured among the 30 ranked insurers.5
Inside the programme
A data-science centre, gen-AI tools in production, a multi-model stack, and AI-driven compliance.
CDSAi
New York Life's Center for Data Science & AI, a sizeable enterprise AI & Data organisation.6
Service Sage & more
Service Sage (service), GuideMe (advisor) and Claims Genie (claims), built on Amazon Bedrock.2
Multi-model
A dual-cloud strategy across AWS and Microsoft, with safeguards for PII/PHI.3
Norm Ai
"Regulatory AI" agents review sales/marketing content; NYL Ventures is a major Norm Ai investor.7
"If it's a decision that could impact a client, we're very careful to make sure those aren't black-box models — we want them explainable. That's particularly important in underwriting, determining somebody's risk class."
Alex Cook, SVP & Head of Strategic Capabilities, New York Life — 20233Explainable models, humans in the loop
New York Life is deliberate that any model touching a client decision must be explainable, not a black box, with a GenAI steering committee and human oversight — a stance it stresses most for underwriting.
That explainability-and-correctness bar is exactly what an insurance AI benchmark measures.
- Explainable, non-black-box models for client decisions
- GenAI steering committee and human-in-the-loop
- PII/PHI safeguards on enterprise model instances
- Deep AI & Data leadership bench
Why this matters for benchmarking
New York Life runs AI through life underwriting, service and claims, insisting on explainability. The more decisions models drive, the more it matters whether they're right — which is what InsureBench measures. See the methodology.
Sources
- Business Wire — New York Life hires Don Vu as Chief Data & Analytics Officer (Oct 12 2023). businesswire.com
- AWS — New York Life case study (Service Sage on Amazon Bedrock). aws.amazon.com
- Computerworld — New York Life on enterprise gen-AI and explainable models (Nov 14 2023). computerworld.com
- CIO Dive — New York Life's hybrid AI underwriting with EHR data (Sep 6 2022). ciodive.com
- Evident Insights — AI Index for Insurance 2026. evidentinsights.com
- DataIQ — Glenn Hofmann / CDSAi profile. dataiq.global
- Norm Ai — New York Life and Norm Ai partner on AI compliance (Oct 9 2025). norm.ai