While the pressure to adopt AI intensifies, it’s important to remember that moving deliberately isn’t falling behind. This guide from Origami Risk provides a practical framework to help you move forward with confidence. The TRUST framework: 5 principles for responsible AI adoption in high-stakes environments AI maturity roadmap from exploration through testing to production Tactical…
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Evidence First, Analytics Second: Anchoring Claims and Durations in Evidence-Based Medicine
Claims organizations increasingly deploy predictive analytics to identify outliers, forecast costs, and prioritize interventions. Yet predictive systems learn from historical data shaped by non-clinical factors such as macroeconomic cycles, statutory benefit structures, and prescriber habits. By anchoring your claims decisions in evidence-based medicine with strategic analytics support, you can: Establish a reliable clinical foundation –…
Driving History: Smarter Risk Insight and Lower Data Costs
What if there was a simple — yet highly effective — way to boost performance across multiple areas of your insurance operations? By integrating violations data into your decisioning processes, you can: Improve matching accuracy and uncover violations that occur outside the license state Reduce spend on motor vehicle reports and optimize acquisition and marketing…