Indico Data unveils Indico 6, newest version of their industry leading intelligent intake solution
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Top U.S. commercial lines insurer boosts document intake efficiency with Intelligent Intake

One of the leading commercial lines property and casualty insurers in the United States faced a common problem: a sluggish document intake process, which led to a sizable backlog that hampered operations. With Indico Data’s Intelligent Intake solution, they have seen a dramatic increase in the capacity for document intake, which in turn has reduced backlog and improved operational throughput.


reduction in processing time


Working through the backlog for better productivity

When the organization was facing potential increasing downtime / slowdowns, it was clear they needed a solution that could – once and for all – enhance and accelerate the document intake process, better analyze and interpret ambiguous data, and optimize the operational effort it took to remediate discrepancies across their 50 insurance businesses.


Making the intake process intelligent

The insurer's overarching goal was to establish a versatile and inclusive framework for learning model development and management. Empowerment of non-technical users was central to this mission, enabling them to effortlessly craft and oversee models for a wide spectrum of forms and processes.

In addition, the organization is deeply committed to fostering collaborative relationships within the diverse OUs, as well as ensuring that assistance and support are provided promptly and effectively.


Unlocking new benefits across the organization

Implementing Indico Data’s Intelligent Intake solution delivered significant time and financial savings for the organization. Operations and processing time that normally required human intervention were reduced, allowing underwriter to focus on other, higher-order initiatives.

Since the implementation of Indico’s solution, the organization has experienced remarkable transformations in their document processing capabilities, particularly regarding unstructured data.

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