How to Operationalise Agentic AI in Claims - Without the Audit Risk

What does it actually take to operationalize agentic AI in claims without creating audit risk? In this webinar, InsurTech NY and Adlib bring together leaders from across the ecosystem to tackle one of the hardest questions in insurance automation: how do you move from AI pilots to production-grade claims decisions that are explainable, defensible, and ready for inspection? As claims teams push to reduce cycle times, lower loss adjustment expense, and scale automation, regulators, auditors, and internal risk teams are asking a different question: can you prove how every decision was made? This discussion explores the real operational challenge behind agentic AI in claims: unreliable inputs, multi-format and handwritten documents, weak validation, and workflows that break down when confidence is low. The panel shares practical perspectives on how to build claims processes that move faster where trust is high, while applying the right scrutiny where risk is real. What you’ll learn: • How to design agentic claims workflows that work in real operating conditions • How to operationalize trust through confidence scoring, validation, and standardization • How to scale straight-through processing without losing governance or control • How to create audit-ready, inspection-ready decision trails across every step Featured speakers: Chris Huff, CEO, Adlib Software Jun Yamada, VP Business Transformation, Tokio Marine Group Frederic Stallaert, CEO, Paperbox Watch the full replay to hear how carrier, SI, and insurtech leaders are thinking about production-ready AI in regulated claims environments. #InsurTech #InsuranceAI #Claims #ClaimsAutomation #AgenticAI #ArtificialIntelligence #DigitalTransformation #InsuranceInnovation