Infrrd Partners with New Mexico Mutual to Automate Workers' Comp Claims with AI

New Mexico Mutual is partnering with Infrrd to automate claims intake using AI-powered Intelligent Document Processing (IDP). This collaboration follows a successful proof of concept aimed at reducing the manual burden of workers' compensation claims. For carriers, this represents a critical step in integrating automated data extraction directly into core systems to improve operational efficiency and claims accuracy.

What was announced

New Mexico Mutual has selected Infrrd to modernize its claims intake process following a proof of concept (POC) that integrated AI-driven document processing with Guidewire ClaimCenter. The initiative addresses the high volume of unstructured data inherent in workers’ compensation, including medical records, provider bills, legal correspondence, and wage documentation. Traditionally, these documents required manual classification, indexing, and routing before reaching claims professionals.

The POC validated Infrrd’s ability to automate eight specific document types. The platform utilizes a combination of computer vision and natural language understanding to classify incoming files and extract business-critical information. A key feature of the implementation is the integration with Guidewire for claim and claimant lookup, which allows the system to cross-check extracted data against existing records. This validation logic helps identify ambiguous or conflicting matches, ensuring that only high-confidence data flows through the system.

The solution includes several specialized capabilities designed for the insurance workflow:

• Intelligent Document Handling: The platform can automatically split, reorder, and merge complex document packages, such as medical billing attachments, based on specific business rules.
• Straight-Through Processing (STP): Documents that meet predefined confidence thresholds move through the intake process without manual intervention.
• Human-in-the-Loop (HITL): Exceptions or low-confidence extractions are automatically routed to a human reviewer, maintaining oversight without stalling the broader workflow.
• Complex Extraction: The system demonstrated high accuracy in extracting both header fields and tabular data from complex medical forms, including CMS-1500/HCFA and UB forms.

The partnership is now moving toward full production, with the goal of scaling these automated capabilities across New Mexico Mutual’s entire claims operation.

"Our proof of concept with Infrrd demonstrated the potential to automate document intake, indexing, and data extraction while maintaining human oversight where it matters. As we move toward production, our focus is on building a scalable foundation that improves operational efficiency today while creating opportunities for broader innovation and insights in the future."

Roberta De Bruijn, Director of Innovation and Analytics at New Mexico Mutual

The companies involved

New Mexico Mutual is the largest provider of workers’ compensation insurance in the state of New Mexico. As a specialist carrier, the company manages a significant volume of complex claims data, serving a diverse range of policyholders and injured workers. Its focus on innovation and analytics is driven by the need to streamline the heavy administrative requirements of workers' compensation, where document-heavy processes often create bottlenecks in claims handling and medical billing cycles.

Infrrd is a technology provider specializing in Intelligent Document Processing (IDP) solutions. The company’s platform is built on an "AI-first" architecture, utilizing proprietary models to handle contextual extraction from complex and unstructured documents. Infrrd’s market position is defined by its focus on enterprise-grade integration and its "human-in-the-loop" interface, which allows for high-accuracy data capture in regulated industries like insurance. By providing rapid model development and specialized extraction for healthcare and legal documentation, Infrrd enables carriers to automate back-office functions that were previously resistant to traditional optical character recognition (OCR) technology.

What this means from an insurtech perspective

This announcement highlights the ongoing shift from basic OCR to sophisticated IDP within the claims value chain. For workers' compensation carriers, the ability to accurately extract tabular data from medical bills (like CMS-1500 forms) is a significant competitive advantage. It directly impacts loss ratios by reducing administrative overhead and accelerating the "bill-to-payment" cycle. Furthermore, the integration with Guidewire ClaimCenter underscores a broader industry trend: insurtech vendors are no longer being evaluated as standalone tools, but by how seamlessly they plug into legacy core-system ecosystems. Carriers and MGAs that fail to automate these "front-door" document processes will face increasing pressure from more agile competitors who can offer faster claims resolutions and lower operational costs.