Unified Insurance Data Powers AI Assisted Claims Processing

About our client

The client is a specialty insurance provider that relies on third-party administrators for claims and exposure data. Its teams use this information to review insurance treaties, process claims data, and monitor compliance. Bringing these inputs together is essential to supporting consistent review and timely reporting.

Challenge

Claims and exposure data arrived from many third-party administrators, each using a different format. The insurer needed to bring those inputs together to support treaty reviews, claims data processing, and compliance monitoring. Without a unified platform, moving the data through these activities required substantial manual work.

A 22-person team kept the data moving, with treaty reviews and claims processing handled manually. The insurer needed a way to process third-party information more efficiently while preserving the detail needed for review.

Compliance reporting occurred once a month. That cadence limited how frequently teams received updated reporting, while manual processing added to the effort required to produce it. The insurer sought a connected approach that could support more frequent reporting and direct issues to people for action.

Solution

Technology Partners brought the insurer's third-party insurance data into one governed cloud platform, preserving the full detail of each data asset. The platform gave the organization a common foundation for processing and reviewing information that had arrived in different formats.

The team built a central AI agent system to review insurance treaties, process third-party claims data, and monitor compliance. By applying automation to these recurring activities, the solution addressed the manual work required to keep information moving through the organization.

When the system flags an issue, it sends the flag to a review application where a person decides what to do and takes action. This connects automated analysis with human review and keeps responsibility for responding to flagged issues with the insurer's team.

Technology Partners also built AI models for insurance market prediction. These models extend the use of the unified data platform beyond processing and reporting, supporting a separate opportunity to generate new revenue.

Results

Claims processing and compliance moved from work handled by 22 people to a workload requiring two full-time equivalents. The insurer also reported higher quality and faster turnaround alongside that reduction in staffing effort. The result is a smaller ongoing workload for these activities, supported by the central AI agent system.

Compliance reporting moved from monthly to daily, giving the organization more frequent reporting. Agent alerts also reach teams across the enterprise wherever an issue needs to be flagged. People use the review application to decide how to respond and take the appropriate action.

Bringing the data together gave us a foundation for reducing manual work. The AI system reviews information and flags issues, while people decide how to respond. That combination supports more frequent compliance reporting and a more efficient claims data workflow.

Jake Gower
Practice Director, Technology Partners

The insurance market prediction models are projected to add $6 million in new annual revenue. This represents a projected financial benefit, separate from the reported improvements in claims-processing workload and compliance reporting frequency. The unified platform supports both uses of the insurance data.

Key Outcomes

• Claims-processing and compliance workload reduced from 22 people to two full-time equivalents.
• Compliance reporting increased from monthly to daily.
• Higher quality and faster turnaround reported for claims processing and compliance.
• Projected $6 million in new annual revenue from insurance market prediction models.
• One governed cloud platform brings third-party insurance data together at full detail.
• AI flags issues for human review and action through a dedicated review application.