Claims AI Unplugged | Five Sigma

Your next adjuster could be fluent in AI and a complete beginner in claims. How do you close that gap?

In this episode, we discuss how new adjusters build judgment and claims expertise when AI handles the routine work that once taught them the job. We cover how to build claims knowledge through reviewing AI findings, checking evidence, and asking policyholders the right questions, with practical steps for rethinking onboarding.

This episode includes AI-generated content.

In this episode, we discuss 10 claims workflows insurers can automate first with agentic AI, why routine tasks make practical starting points, and how to expand automation as accuracy holds. We also cover where adjusters stay involved and how to keep human judgment at the right decision points.

This episode includes AI-generated content.

In this episode, we explore why insurers miss valuable subrogation recovery opportunities and how agentic AI can help. We cover how AI detects third-party liability, preserves critical evidence, and helps adjusters initiate recoveries earlier, reducing missed opportunities and improving recovery outcomes.

This episode includes AI-generated content.

Why do so many AI pilots in insurance show promising results, yet so few make it into production?
According to Capgemini's 2026 research, only 10% of P&C insurers have successfully scaled AI.

In this episode, we explore what it takes to move agentic AI beyond isolated use cases and into everyday claims operations. From configuring workflows across lines of business and jurisdictions to setting authority limits, managing exceptions, and measuring real operational impact, we discuss the challenges claims leaders need to address before expanding AI automation.
We also look at Five Sigma's automation-first approach and how claims organizations can build a practical path toward greater AI autonomy while keeping adjusters in control of decisions that require human judgment.

This episode includes AI-generated content.

What changes when AI can move a claim forward? We discuss how Five Sigma’s new Clive™ Claim Conductor and Adjuster Cockpit support claims progressing within insurer-defined rules, with adjusters in control, and what that means for claims leaders, adjusters, and policyholders.

This episode includes AI-generated content.

Blueprint Two changed direction, but the need to modernize London Market claims did not. This episode looks at what carriers should do next, where agentic AI fits, and why claims transformation is increasingly becoming a carrier-level decision.

Learn how to build a more modern, AI-enabled claims operation around your own role and decision model inside London Market worflows.

This episode includes AI-generated content.

In this episode, we explore how Five Sigma's new capabilities Adjuster’s Cockpit and Clive Claim Conductor are changing the claims operating model by helping insurers move toward no-touch and low-touch claims. We discuss how AI can keep claims moving within defined guardrails, when adjusters need to step in, and what this shift means for the future of claims operations.

This episode includes AI-generated content.

AI governance in insurance is quickly becoming a practical claims requirement, with some rules already in force and more deadlines approaching.

In this episode, we break down what that means for claims leaders: what regulators may ask for, what an exam-ready decision record should contain, and how to assess whether your claims operation can reconstruct an AI-influenced decision when it matters. 


This episode includes AI-generated content.

How can MGAs handle growing claims volume without growing claims teams at the same rate?

This episode looks at where agentic AI can create capacity across claims operations, what stays with the handler, how automation supports delegated-authority oversight, and how to phase it in in real claims operations. A practical guide for MGA claims leaders looking to scale while keeping human judgment where it matters.











This episode includes AI-generated content.

This episode explores the critical design of the AI-to-human handoff that keep claims moving without creating extra work for adjusters within the context of agentic AI for insurance claims. 

We look at where automation should pause, what a decision-ready handoff should include, and how AI can resume the claim once human judgment is applied. The discussion also covers governance, traceability, and the controls insurers need to scale agentic AI safely while protecting adjuster productivity.













This episode includes AI-generated content.