Transforming Loss Data into Actionable Insights
The Client
The Company - The client is a Philadelphia based leading risk management consultancy firm and part of one of world's largest brokerage company. The client specializes in providing business insurance, employee benefits, and surety brokerage services to companies in a range of high-risk industries, including construction, real estate, manufacturing and distribution, health and human services, and professional services.
The Challenge
A leading insurance brokerage was struggling with fragmented loss data coming from multiple carriers.
Key Pain Points:
- Each carrier provided loss runs in different formats and structures
- Manual consolidation consumed hours of effort per account
- Producers and account teams found it difficult to extract meaningful insights in time to support renewals
This lack of data standardization slowed down decision-making and limited their ability to present a clear picture of customer risk profiles.
The Solution
The brokerage implemented ’s AI-powered platform to automate the mapping and normalization of carrier loss data.
The platform enabled:
- Seamless ingestion of data from 50+ different carriers
- Automatic standardization and classification of loss runs
- Delivery of clean, structured insights directly to account teams
With CogniSure, data that was once siloed and unusable became instantly accessible and actionable.
The Benefits
| Metric | Before | After CogniSure |
|---|---|---|
| Time to consolidate loss runs | 7–10 days | 2–3 days |
| Manual effort required | Very high | Reduced by 80% |
| Accuracy of data insights | Inconsistent | 99% standardized |
| Producer/account team efficiency | Limited | 2× more productive |
| Renewal win rate impact | Flat | +15% uplift |
"CogniSure’s ability to quickly map and normalize loss data from multiple carriers is a game changer. In an industry with very little data standardization, CogniSure provides producers and account teams with the ability to deliver insights into customer loss information that was previously too difficult to make use of in an efficient manner."
Mike McIntire
CTO, Graham (MMC Company)