Operationalizing Agentic AI in Claims Without the Audit Risk | Adlib x InsurTech NY
A carrier, SI, and insurtech perspective on scaling AI from pilot to production in regulated claims environments.
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.
Adjusters re-check what should have been automated. Supervisors get pulled into escalations. And the business inherits a new kind of exposure: automated decisions that aren’t fully explainable or defensible.
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.
We’ll walk through an end-to-end, intake-to-decision approach designed for real operating conditions where data quality varies, documentation matters, and oversight isn’t optional. The conversation will focus on how leading organizations are rethinking claims workflows around trust, validation, and controlled automation, so teams can move faster where confidence is high, and apply the right level of scrutiny where it’s not.
What you’ll learn
1) 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.
2) How to operationalize trust in automation
Approaches to confidence scoring, validation, and standardization that make outputs reliable for downstream systems, AI, and audit.
3) How to scale straight-through processing, without losing control
Routing work based on confidence and risk, so human expertise is focused on true exceptions, not routine cleanup.
4) How to deliver audit-ready, inspection-ready outcomes
Creating a clear, defensible trail across every step, inputs, transformations, decisions, and outputs.
Who Should Attend
- Claims Operations leaders driving cycle time, cost, and CX improvements
- Claims Transformation & Automation leaders scaling AI into production
- Claims IT, Data, and AI leaders responsible for reliable automation
- Risk, Compliance, and Governance stakeholders accountable for defensible outcomes
Our Speakers
Chris Huff
Chris Huff is a growth-focused tech and SaaS executive with a proven track record in scaling enterprise software companies backed by private equity and venture capital. He’s known for building strong teams and driving value through operational efficiency, revenue growth, and product innovation. Prior to joining Adlib, Chris was CEO at Base64.ai and Chief Strategy & Growth Officer at Tungsten Automation (formerly Kofax), where he led strategy, product, AI, GTM, marketing, and partnerships. He also co-led Deloitte’s U.S. Public Sector Intelligent Automation practice and served as a Major in the U.S. Marine Corps. Chris brings deep expertise in AI, automation, and digital transformation—and a clear vision to expand Adlib’s impact across regulated industries.
Frederic Stallaert
Frederic Stallaert is the CEO and Co-Founder of Paperbox, an AI company helping insurance teams automate mailroom workflows and redirect administrative time toward more client-focused work. Based in Ghent, Belgium, Frederic brings a strong background in enterprise sales, international go-to-market, data engineering, and solution engineering. He is focused on building practical AI solutions that improve how insurers manage claims, policies, and customer communications.
Rampy Yamijala
Rampy Yamijala is a Partner and Insurance Consulting Leader at Cognizant with over 23 years of global experience driving large-scale transformation across life, annuities, and retirement services. He has secured and led multi-million-dollar modernization programs, earning over $100M in transformation funding, while helping insurers improve growth, customer experience, and operational efficiency. Known for aligning business and technology strategy, Rampy has delivered complex mergers, digital operating models, and AI-driven solutions for top-tier carriers. A published thought leader and trusted advisor, he brings a track record of turning industry challenges into scalable, future-ready outcomes.
Jun Yamada
Jun Yamada is Vice President of Business Transformation at Tokio Marine Group, one of the world’s largest insurance organizations. Jun leads cross-company initiatives that modernize claims operations through AI, data, and shared operating models — orchestrating group-wide pilots, governance frameworks, and scale-up plans with executives across the Americas and Europe. His work centers on measurable outcomes and repeatable playbooks that can travel across markets. Jun currently drives Tokio Marine’s Digital Acceleration Team claims agenda as a core part of the Group’s Global Operations 2026 initiative, focused on building shared, scalable capabilities worldwide.
