ReSource Pro Launches AI Orchestration, Data Services For Insurance

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.

AI Orchestration Targets Production Deployment

ReSource Pro said its AI Orchestration Services are designed to embed AI into core insurance operations rather than isolated use cases. Each deployment includes defined exception handling and traceable records for every output, allowing organizations to explain how decisions are made.

“Insurance operations are full of decisions that look routine until they aren’t,” said Dan Epstein Tagger, CEO, ReSource Pro. “These services let our clients put that knowledge to work at a scale no point solution can match.”

The company said it built the system on more than 70,000 documented insurance workflows developed over two decades. That documentation forms the basis for how AI systems interpret context and handle exceptions in production environments.

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ReSource Pro also partnered with telos to provide a judgment layer that tracks how decisions are made and ensures outputs remain auditable. Telos CEO Jason Kelly said AI in regulated industries must produce decisions that are explainable and accountable.

Companies deploying AI in operations are increasingly focusing on tightly scoped, workflow-driven implementations. Retailer Costco, for example, has applied AI within defined operational processes rather than broad experimentation.

Data Services Focus On Usable, Governed Inputs

ReSource Pro said its expanded data services are intended to address fragmented and inconsistent insurance data that limits AI performance. The offering includes data advisory, platform modernization, and managed data services to support ongoing data quality and integration.

“Every insurance organization we talk with has the same problem in a different form,” said Paul Naquin, President, Technology Services, ReSource Pro. “They have data they cannot use, processes that are not documented, and AI projects that do not scale across the enterprise.”

Regulatory expectations are increasing pressure on companies to explain how AI systems make decisions. In healthcare, gaps in AI oversight have already prompted state-level regulatory responses, reflecting broader concerns about accountability in high-risk environments.

ReSource Pro said combining workflow documentation with governed data is required for AI to operate reliably in production. The company said its services are available to carriers, managing general agents, managing general underwriters, wholesalers, and retail agencies, with further details expected at its summit in Palm Springs later this month.