Charlee™ Search

Search to Patterns in Minutes. Litigation,
Reserves and Severity Management made
Seamless, Efficient and Easy (SEE)

What is Charlee Search

A simple semantic search for finding patterns and aggregate insights, laid out to you in a set of easy to read, clutter-free infographics, and fine-tuned with almost 100 years of combined domain experience. Charleeā„¢ Search makes it seamless, easy and efficient to manage litigation, reserves and severity

Did you know that more than 70% of all claims data is in an unstructured format?

Such as claim notes, email, PDFā€™s, invoices, letters, reports, external data and more.

This makes it impossible to analyze important and hidden data for loss that is not a standard loss term..

The lack of analytics softwares for unstructured data makes the claims managerā€™s job of finding high-risk patterns a very difficult, time-consuming, inefficient, and manual process.


Thatā€™s where Charleeā„¢ Search comes in. With Charleeā„¢ Search, finding emerging and existing risks is as easy as 1, 2, 3. All you have to do is enter a keyword, choose some filters and press ā€œsearchā€, and you have all your insights laid out to you in a set of crystal-clear, easy-to-understand infographics. The best part is, Charleeā„¢, Search can support most of the common unstructured and structured data formats, and will handle all your documents with a level of security befitting a company that is both HIPAA and SOC2 compliant.

Charleeā„¢ Search Features

  • Start with any loss cause keyword, which may or may not be a structured claim field, and discover significant, high cost, and high severity patterns.

  • Customize any filters whether structured data fields or Charleeā€™s unstructured fields or patterns for accurate analytics and insights.

  • The quick summary view displays cost and litigation cost drivers along with the context of what patterns cost or is litigated the most when you mouse over.

  • Structured and unstructured data based KPIs such as cost, volume, timeline and cause of loss breakdowns

  • Entities and Topics extracted from unstructured data (internal & external sources) are correlated with cost and litigation patterns leveraging our patent pending machine learning and AI algorithms

  • Drill down from any patterns or KPIs for a list of claims behind those patterns. These claims are based on the semantic search based analytics and machine learning patterns

35

claims processed

3000

pre trained insights

130

Combined years of experience