Webinar replay: How carriers are leveraging large language models (LLMs) and automation to drive better decisions
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             PEAK Matrix® 2022  
Indico Named as Major Contender and Star Performer in Everest Group's PEAK Matrix® for Intelligent Document Processing (IDP)
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Driving better outcomes with better intake to improve operational efficiency and increase premium growth

Automate manual data extraction in front-end of critical workflows such as underwriting or claims submissions, and more.

The combined and loss ratios for any global insurance company are extremely important metrics. Improving these metrics relies upon reducing leakage and responding to a quote quickly when it comes to underwriting, or quickly resolving a claim and ensuring a positive customer experience. For example by automating the claims intake process, carriers are able to:

  1. Realize faster time to resolution, which will positively impact both loss and combined ratios.
  2. Reduce manual work, reduce costly errors and improve response times, resulting in an improved combined ratio.
  3. Identify fraud and outlier cases through accurate data ingestion, leading to improved analytics capabilities.

To capitalize on the Amanda Blanc’s key initiatives on growth, customer, and efficiency, friction needs to be removed from the insurance purchase process. To do this, you need to focus on digitizing workflows, improving data resources, and applying automation to key parts of the claims and underwriting process.

A partnership with Indico Data can enable carriers to make better and faster decisions with timely and accurate data from automated document intake processes. Ultimately, Indico decreases the intake processing time from days to hours – with higher accuracy than manual labor. This allows you to focus on what matters most and deliver measurable results.

Makenzie Bickley

Enterprise Account Executive, Indico Data

If you’d like to further explore what a partnership with Indico would look like, feel free to book a meeting with me.

I look forward to hearing from you. Thanks!

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