Case Study

Enterprise Claims Transformation and Operational Optimization

A specialty carrier's Claims organization was running on fragmented processes, manual workflows, and reporting assembled by hand. We validated their internal diagnostic, redesigned the operating model end to end, and delivered an ROI-driven roadmap that cut early stage leakage by 30% and adjuster administrative workload by 35%.

30%

reduction in early stage claims leakage See more results below ↓

Client

A specialty insurance and reinsurance carrier with a multi-segment Claims organization

Lines

Complex commercial lines

What We Solved

Claims operations, workflow design, and operating model

ENGAGEMENT

Consulting and process transformation

The Challenge

The Claims organization had already run an internal diagnostic across FNOL, claim setup, assignment, processing, and reporting. It knew something was wrong. What it needed was a partner to validate the findings, sharpen the solution design, and turn all of it into a roadmap someone could actually execute against, without loosening service quality or regulatory compliance in the process.

The constraints were operational rather than technological. FNOL intake and claim setup were inconsistent, producing poor data quality and downstream leakage. Manual, repetitive workflows consumed adjuster capacity and delayed claim progression. Assignment and routing logic was ineffective, causing rework, reassignment, and uneven workload distribution.
Visibility into claims data across accounts was limited, which undermined forecasting, reporting, and decision making. Reporting itself depended heavily on ad hoc aggregation. There were no standardized SOPs or governance across teams, and no structured operating model for leveraging offshore or lower cost resources.

Together these drove higher cost per claim, longer cycle times, and less capacity for the complex, high value claims that most needed it.

The Solution

Paktolus delivered a comprehensive Claims Transformation strategy designed to streamline operations, reduce cost, and enable scalable growth, combining process optimization, data standardization, and operating model redesign.

At the core was a unified approach to modernizing the Claims lifecycle end to end.

Front End Intake Optimization

Standardized FNOL and claim setup processes to ensure consistent, high quality data capture at first submission, reducing downstream errors and rework.

Intelligent Workflow and Assignment Design

Optimized routing logic and workload balancing frameworks so claims are assigned correctly the first time, improving cycle time and reducing reassignment.

Operational Efficiency Through Task Segmentation

Identified and offloaded low complexity, administrative tasks from adjusters to a structured support model, allowing core Claims resources to focus on complex, high severity cases.

Data Visibility and Reporting Standardization

A unified data and reporting framework providing complete account level visibility across claims, premiums, exposures, and loss trends, enabling more accurate forecasting and executive decision making.

Governance and SOP Enablement

Standardized operating procedures and controls to drive consistency, compliance, and scalability across all Claims processes.

Scalable Operating Model

A hybrid onshore and offshore model with defined roles, responsibilities, and performance metrics, optimizing cost efficiency while maintaining service quality.

This approach enabled the organization to transition from fragmented, manual operations to a streamlined, data driven Claims function with improved efficiency, transparency, and scalability.

Technologies

Guidewire ClaimCenter Microsoft Azure Data Platform PostgreSQL UiPath Power Automate Azure Document Intelligence Power BI

Results

30%

reduction in early stage claims leakage through standardized FNOL intake

33%

reduction in rework driven by improved data quality and process alignment

35%

reduction in adjuster administrative workload through task offloading

27%

improvement in overall claim cycle time

20%

increase in straight-through processing rates

19%

reduction in claim misassignment and reassignment rates

Where This Applies

Most claims transformation work fails at the same point: the diagnostic is right, and nothing changes because nobody scoped the operating model alongside the technology. Intake quality, routing logic, and who does the administrative work are not separate problems from cycle time and leakage. They are the same problem.

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How would results like these impact your business?

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Enterprise Claims Transformation and Operational Optimization

30%

The Challenge