In this episode, we break down the strategy of modernizing your core claims platform the smart way — without gambling operations on a 12–24 month, $5–20M+ core replacement.

We cover how to run agentic AI on top of the system you already have, prove value on live claims first, and let the core migration happen gradually, on your own timeline, instead of as a high-risk, all-at-once cutover.

In this epsode we break down how AI-generated evidence beats behavior-based legacy fraud detection, the signs of a synthetic claim, and what an evidence-first approach looks like in practice.

In this deep dive episode, we trace the shift from AI-assisted tools to fully autonomous agentic AI claims workflows, and why more autonomy doesn't have to mean less control. We cover why traditional model governance falls short on risks like cascading errors, the four guardrails that let you scale safely (role-based access, audit trails, policy enforcement, regulatory compliance), and the 2026 deadlines from Colorado and the EU AI Act.

Every wave of automation in claims sparks the same worry: that the adjuster's job disappears. The honest answer is that it moves up. In this episode, we trace the shift from AI-assisted to agentic AI claims, what changes operationally, and where carriers, MGAs, and TPAs are heading as agentic AI scales across the industry.