When it comes to AI adoption in insurance, the real challenge isn’t experimentation — it’s enterprise-wide impact. While many insurers have launched pilots, turning those initiatives into measurable business outcomes at scale remains uneven across the industry.
New research from Earnix underscores this gap.* Although 80% of insurers are experimenting with or planning to adopt generative AI within the next two years, legacy systems, integration complexity, and governance readiness continue to hinder large-scale deployment.
This on-demand webinar goes beyond adoption to focus on disciplined execution, data quality, and governance frameworks that enable AI to operate safely, responsibly, and at scale.
In this webinar, you'll:
Learn how to transition from pilot to production by building scalable architectures and deployment frameworks that balance innovation with responsible growth
Discover how leading insurers are aligning AI initiatives with measurable business outcomes across underwriting, claims, distribution, and customer experience
Gain practical insight into transforming data management and governance from perceived bottlenecks into strategic enablers of agility and speed
Understand the data foundations, talent models, and change management strategies required to operationalise AI across the enterprise
Speakers:
David Ovenden, Chief Underwriting Officer, AXA Commercial
Marisa Murton, Head of Data Science, Allianz
Christian Toft‑Nielsen, Senior Vice President, Predictive Modeling & AI Strategy, Ascot Group
Jimmy White, Product Manager, Earnix
Moderator: Aditi Mathur, Editor, Intelligent Insurer
If your organisation is ready to move beyond experimentation and unlock the full value of AI, this webinar will provide the roadmap to get there.
