Use case.
Similar Claims Researcher.
Streamline the investigation process of past claim analysis by instantly identifying and correlating historical claims data, matching patterns, and uncovering insights that may have taken hours to find manually. This assistant delves into claim archives, ensuring a faster and more accurate response.
Streamline past claim analysis
Your benefits.
See what's in it for you.
Saves hours of manual work
Smartly manage resources
Increase customer happiness
What you previously had to do.
Manually gather all records, potentially across different databases and in different formats.
Manually read the details of each claim to identify similar cases or use unreliable CTRL+F keyword search
Complete a manual like-for-like comparison of different cases to find similarities to determine potential results.
What this task now looks like.
Create a knowledge container for past claims that can accommodate a large number of post-claim entries. These can be sourced from different databases and accessed instantly.
Analyze claim text to automatically identify and categorize details, allowing potential similarities to be highlighted instantly.
Compare thousands of claims simultaneously, identifying patterns to support your claims team and provide swift answers for customers.
You can choose from various LLMs.
For this use case, we recommend Azure GPT-3.5.
Streamline the investigation process of past claim analysis by instantly identifying and correlating historical claims data, matching patterns, and uncovering insights that may have taken hours to find manually. This assistant delves into claim archives, ensuring a faster and more accurate response.
Train from different data sources.
Data examples.
You can train your Generative AI assistant from different data sources. Here are some examples.
Claims Database
A repository of past and current claims, containing details such as claimant information, nature of the claim, policy details, damages, assessments, settlements, and outcomes.
Historical support emails
"Historical support emails" are archived email interactions between customers and a company's support team. They're kept for record-keeping, quality assurance, training, dispute resolution, and data analysis to improve customer experience and services.
Policy Information
Contains detailed information about various insurance policies, coverage, exceptions, terms, and conditions. This information is crucial for aligning claims with specific policy guidelines and determining eligibility or exceptions.
This might also be relevant for you.
Further resources
We have collected a list of resources that might be helpful for you to learn more about this use case.
Kern AI: Applying ChatGPT-like capabilities for confidential data
Most data science teams working on text- and document-AI are typically restricted in what they can build. Collaboration with domain experts works mainly via Excel file sharing, leading to slow annotation and intransparent data decisions.
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We are ISO-27001 certified, work with external DPOs and offer multiple LLM options to keep your data safe.
Your data stays confidential, and is not used to train models that aren't yours.
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The blueprint for your use case.
We've been in the space of Natural Language Processing for many years before ChatGPT and pioneered open-source, data-centric AI. Solutions built on our platform follow IT, LLM and security best practices.
