Operationalizing Agentic AI in Claims Without the Audit Risk
Claims leaders are under pressure to "go agentic" to reduce cycle times, lower loss adjustment expense, and scale automation. At the same time, regulators, auditors, and internal risk teams are asking a different question: Can you prove how every decision was made?
That tension shows up quickly in real-world claims operations. Many insurers are still constrained by a foundational issue: the data and documents entering the process aren't reliable enough to trust. Complex, multi-format, and often handwritten inputs introduce uncertainty at the very first step. When agentic workflows run on inputs they can't trust, the outcome isn't straight-through processing — it's straight to exceptions, rework, and audit risk.
This panel brings together perspectives from across the ecosystem to explore what it actually takes to move from AI pilots to production-grade, audit-ready claims decisions.
What You'll Learn
A practical blueprint for agentic claims workflows — how leading insurers are designing intake-to-decision flows that work in real conditions, not just ideal ones
How to operationalize trust in automation through confidence scoring, validation, and standardization
How to scale straight-through processing without losing control — routing work by confidence and risk so human expertise goes where it's needed
How to deliver audit-ready outcomes with a defensible trail across every step: inputs, transformations, decisions, and outputs
Who Should Attend
Claims Operations leaders, Claims Transformation and Automation leaders, Claims IT, Data and AI leaders, and Risk, Compliance and Governance stakeholders.
Speakers
Chris Huff — CEO, Adlib Software
Frederic Stallaert — CEO, Paperbox
Jun Yamada — VP Business Transformation, Tokio Marine Group
Rampy Yamijala — L&A Insurance Consulting Lead, Cognizant
Hosted by InsurTech NY in partnership with Adlib Software. Free to attend. Registration required.