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Nodal is an AI-powered claims analytics platform built by Milliman IntelliScript for P&C claims organizations. It helps claims teams see high-risk claims earlier, understand what care should cost, and act before severity and cost escalate.

Nodal is an insurance claims analytics platform that combines two capabilities: Claims Triage, which surfaces high-cost claims across workers’ compensation, auto, and general liability using the claimant’s actual health history, predictive analytics, and natural-language extraction from claim notes; and Medical Benchmarking, which compares workers’ comp treatment patterns and provider performance against Milliman’s external group-health data covering one in three Americans. Grounded in Milliman’s actuarial methodology, Nodal works alongside existing claims systems without rip-and-replace, and is used by insurance carriers, self-insured employers, third-party administrators (TPAs), and risk pools.

Nodal is for insurance carriers, self-insured employers, third-party administrators (TPAs), and risk pools who want to identify high-cost claims earlier, understand what care should cost, and act sooner.

Our cross-discipline team of experts, including actuaries, clinicians, data scientists, and claims professionals, continues to support you after implementation.

Nodal is a fully managed software-as-a-service solution designed for a straightforward implementation. There’s no software to install or maintain, and the web-based interface requires minimal IT involvement. For teams that prefer API integration, Nodal connects with your existing systems through a secure integration process supported by your technical team. We assemble data from unstructured sources, build predictive models using advanced machine learning techniques, and partner with experienced claims consultants to drive adoption and maximize ROI.

Claims predictive analytics allow P&C carriers to move from reactive to proactive management. Nodal’s platform uses Milliman’s actuarial expertise to benchmark claims against external populations, helping organizations predict high-cost outcomes in workers’ comp, auto, and general liability programs with greater accuracy than internal data alone.

Yes. Nodal is designed as a plug-in intelligence layer rather than a rip-and-replace system. It provides AI-powered claims analytics and decision-support that works alongside your existing , typically going.

No. Nodal is built to support the people making claims decisions, not to make the decisions for them. It surfaces the high-risk claims, explains what’s driving them, and points to where attention is needed, but the adjuster stays in control of the call. That’s deliberate: a recommendation is only as useful as the reasoning behind it, so Nodal shows why a claim is flagged and what the signal is based on, rather than handing down a score with no context. The result is faster, more consistent decisions grounded in more information, with experienced adjusters still applying the judgment that a model can’t replace.

Insurance claims analytics is the use of data, predictive modeling, and AI to identify which claims are likely to become severe, costly, or litigated, early enough to act on them. Where traditional reporting looks backward at claims that have already closed, insurance claims analytics works on open claims, scoring risk and surfacing the drivers behind it so teams can intervene while the outcome can still change. Nodal applies insurance claims analytics across P&C lines, workers’ compensation, commercial auto, and general liability, combining the claimant’s health history, unstructured claim notes, and Milliman’s actuarial benchmarks to identify high-risk claims and show what care should cost.