Agentic and Generative AI For Insurance USA 2026

Scaling AI in Insurance: From Experimentation to Enterprise Infrastructure

November 18, 2026 | The Westin New York at Times Square, New York

200+ Senior AI Experts Attending

2 Tracks: Use-cases & Enablement

20+ C-level Speakers on the Agenda

Real AI Use Cases. Real ROI. Real Lessons Learned.

According to Evident’s Q4 2025 Insurance AI Use Case Tracker, 68% of publicly disclosed insurance AI deployments were generative or agentic, with agentic AI accounting for 21% of deployments. The direction of travel is clear: AI is no longer experimental in insurance—it is increasingly operational.

In 2026, the question is no longer whether insurers will adopt Agentic and Generative AI, but how quickly they can move from pilots to scaled production. Early adopters are already seeing measurable gains in underwriting, claims, and operations, from improved speed and productivity to better decision-making and automation of complex workflows.

However, scaling AI across insurance enterprises remains challenging. Legacy data environments, regulatory and governance complexity, model validation, and organisational readiness continue to slow adoption. At the same time, questions around risk tolerance, trust, and accountability are becoming central to every deployment decision.

Getting this transition right is now a competitive necessity. Done well, AI unlocks significant efficiency and strategic advantage. Done poorly, it risks wasted investment, compliance exposure, and falling behind faster-moving competitors.

Join Intelligent Insurer’s Agentic & Generative AI for Insurance Conference (November 18, New York) to explore how insurers are moving from experimentation to execution.

This event is designed for decision-makers focused on real-world deployment, scalable use cases, and measurable ROI. Hear from insurers already running AI in production, technology leaders building AI systems, and practitioners solving the practical challenges of data, governance, and adoption—alongside what is actually working in insurance today.

Find out more by registering your interest today.

An agenda designed to deliver value and drive impact:

Accelerate underwriting and claims performance by applying Agentic and Generative AI to reduce cycle times, improve risk selection, and automate routine decisions
Unlock measurable ROI from AI investments by focusing on production-ready use cases that deliver tangible efficiency and productivity gains
Modernise fragmented data environments by finding practical ways to activate value from legacy systems without waiting for long, costly transformation programmes
Strengthen governance, trust, and compliance by addressing validation, regulatory expectations, and safe deployment of increasingly autonomous AI systems
Scale AI adoption across the enterprise by overcoming cultural resistance, clarifying risk tolerance, and building operating models that support real-world deployment

Network with senior underwriters from leading carriers - here's who attended last year:

Speakers for 2026 will be announced shortly- in the meantime, here's who took to the stage last year:

Frank Schmid

Chief Technology Officer

General Re

Otakar Hubschmann

Chief Artificial Intelligence Officer

Trans Re

Justin Gress

Chief Operating Officer - Insurance

Vantage Risk

Jim MacMillan

Chief Information Officer

Vantage Risk

David Vanalek

Chief Legal and Compliance Officer

Richmond National Insurance

Vijay Laknidhi

SVP Head of Strategic Planning & Execution

AmTrust

Bipin Chadha

Senior Vice President, Data Science

CSAA

Christian Toft-Nielsen

Senior Vice President, Predictive Modeling & AI Strategy

Ascot Group

Kelly Castriotta

President

Castriotta Consulting Group

See what your peers had to say about our previous event:

Don't just take our word for it - take a look at the highlights from our previous event:

Connect with Cross-Functional Leaders Driving AI in Insurance

Insurance Leaders: Chief Underwriting Officers, Chief Digital Officers, Chief Claims Officers, Chief Operating Officers

Data & AI Professionals: Chief Data Officers, Heads of AI, Data Scientists, AI Engineers, and leaders in analytics, machine learning, and AI governance
Technology & Digital Leaders: Chief Technology Officers, Heads of IT, Enterprise Architects, and digital transformation leaders
Product, Strategy & Innovation: Product Managers, Heads of Strategy, Innovation Leads, and Customer Experience leaders
Legal, Compliance & Regulatory: General Counsel, Compliance Officers, and AI governance specialists