A Radical Approach to Claims: Why Automating the Process Beats Augmenting the Adjuster
A Radical Approach to Claims: Why Automating the Process Beats Augmenting the Adjuster  
Podcast: Full Episodes | Insurtech Leadership Podcast
Published On: Thu Mar 12 2026
Description: Introduction What happens when you stop trying to make claims adjusters faster and instead redesign the entire workflow from first notice of loss? Most insurers are layering AI co-pilots on top of legacy processes, but Ravin AI is arguing for something more disruptive: a fully automated claims pipeline that collects evidence, detects fraud, applies business rules, and routes decisions before a human ever touches the file. In this episode, Eliron Ekstein, Co-Founder and CEO of Ravin AI, breaks down how their Ravin Inspect platform automates up to 80% of auto claims, and why the economics of full automation are fundamentally different from incremental efficiency gains. Guest Bio Eliron Ekstein co-founded Ravin AI approximately eight years ago out of Shell Ventures, where he led new business development in Shell's Digital Ventures unit in London. What began as a concept for scanning vehicles at petrol stations has grown into a $35M+ funded insurtech operating across multiple continents. Eliron holds an MBA from London Business School and has spent the past decade digitizing automotive and transportation workflows. Ravin AI now serves insurance carriers, fleets, and remarketing customers globally with its patented DeepDetect technology. Key Topics -Full Automation vs. Co-Pilot Augmentation — Why Ravin's "pilot, not co-pilot" approach delivers fundamentally different economics than AI tools that assist adjusters within existing workflows. -Ravin Inspect: End-to-End Claims Pipeline — How the platform gathers policyholder data, vehicle images, location, speed, and fraud signals upfront to build a complete claim file before human review. -80% Auto-Adjudication Target — The threshold at which automation rewrites carrier unit economics, from staffing models to cycle times to customer satisfaction scores. -Purpose-Built AI vs. Generic GenAI — Why domain-specific computer vision and decision logic outperform general-purpose large language models for claims adjudication. -Integration Without Disruption — Ravin's approach to plugging into existing core systems and claims platforms without requiring carriers to rip and replace. -International Market Entry — Lessons from expanding an Israeli-founded insurtech into the U.S. and Australian markets, including regulatory and go-to-market differences. -Fraud Detection as a Byproduct — How automated evidence collection at FNOL creates a stronger fraud signal than retroactive investigation. Notable Quotes "Our pilot is not a co-pilot — it will run the claim up until the very last minute where you have to give a final approval." — Eliron Ekstein, Co-Founder & CEO, Ravin AI "We can actually gather all the relevant data from you — images, location, speed, fraud detection — and build a complete file that already includes business rules according to which you can settle the claim." — Eliron Ekstein "This is more of a radical approach that results in significant benefits, significant speed." — Eliron Ekstein Resources Guest: Ravin AI: https://www.ravin.ai/ Eliron Ekstein on LinkedIn: https://www.linkedin.com/in/elironekstein/ Host & Organization: Joshua R. Hollander on LinkedIn: https://www.linkedin.com/in/joshuarhollander/ Horton International (USA): https://www.horton-usa.com/ Insurtech Leadership Podcast (LinkedIn Showcase): https://www.linkedin.com/showcase/insurtech-leadership-show Subscribe & Review If you enjoyed this episode, subscribe on your favorite platform and leave a review. The Insurtech Leadership Podcast is available on YouTube, Podbean, Apple Podcasts, and Spotify.