Why Insurance Claims Systems Create Friction and How Design Can Fix It

A new report outlines how role confusion, product silos, and competing platform priorities create unnecessary friction across claims and service workflows.

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Keeping Humans in Control of Predictive Tools

Predictive analytics works best when it supports judgment rather than replacing it. Clear governance, transparency, and practical workflow guardrails help ensure models are used responsibly and consistently. When adjusters understand what a score means and what it does not mean, the tools become a real advantage instead of a black box.

Forecasting Severity in Weather Driven Events

Weather events rarely arrive without warning, but claims operations still get caught flat-footed. By pairing weather data with historical claims outcomes, teams can better forecast where severity will concentrate and what resources will be needed. Adjusters benefit from better staging, clearer expectations, and fewer operational surprises.

Reducing Leakage by Predicting Claim Friction

Many of the most expensive claims follow familiar paths toward dispute, supplement, or prolonged cycle time. Predictive analytics can surface the conditions that increase friction such as documentation gaps, vendor patterns, or scope volatility. Catching those signals early helps adjusters protect accuracy and control cost without sacrificing fairness.