Claim analytics using artificial intelligence represents a proven method to reduce claim severity and improve the efficiency of claim-handling resources.

Nodal™, our web-based predictive modeling and decision-support system, accurately identified 95% of high-cost claims for the Intergovernmental Risk Management Agency before they happened, reducing costs by over 15%.

Today, the advances with machine learning software and text-mining algorithms are necessary tools for the early identification of claims most likely to become excess loss claims.

What are the risks associated with uninsured subcontractors and what can be done to prevent them from threatening a company’s bottom line?

Workers’ compensation remains one of the most complex exposures for employers. This study provides fundamental healthcare industry benchmarks from which informed decisions related to managing workers’ compensation in California can be made.