Insurance companies are struggling to move AI beyond pilot programs into production systems that can withstand regulatory scrutiny. ReSource Pro said it launched a full suite of AI orchestration and data services to address that gap.
The New York-based company said insurers often lack documented workflows and governed data, which prevents AI systems from producing consistent and explainable results. A routine property and casualty workflow can include 18 procedures and more than 2,700 variation points driven by rules, exceptions, and judgment calls.
Many enterprises encounter similar challenges when scaling AI systems beyond controlled environments. In one case, Uber’s internal AI coding efforts expanded costs during deployment, highlighting the risks of moving from experimentation to production without operational controls.




