Challenges: Artificial Intelligence – your strategic chapter for the future

Today, insurance companies have more data about their customers than ever before. Digital as well as analog input data are an integral part of insurance processes. The processing of incoming data, especially documents, continues to play an essential role. Via a multitude of traditional as well as new input channels, these are received every day, partly processed manually and used in many business processes. The sheer volume of documents makes this a challenging and time-consuming task. This is particularly problematic for time-critical customer inquiries.

KI & NLP: Why AI pays off

For many repetitive activities, methods from the field of artificial intelligence, here essentially from the subfield of natural language processing (NLP), can deliver added value. Artificial intelligence bundles data and knowledge in the insurance company, can compare documents at the content level, or independently recognize patterns and trends in data. AI applications make these insights available to your employees to support them and thus ensure greater speed, efficiency and accuracy.

Kollegen diskutieren über Algorithmen. Ein Symbolbild für die Vorteile von Künstlicher Intelligenz in der Versicherung

Your advantages: Realize the potential of your data

More efficiency, less administrative work

AI applications take over manual, repetitive, error-prone steps.

Smart product development and control

Identify potential for individual insurance products based on Data Science.

Optimize user experience for your customers

Through faster case processing and shorter waiting times.

Boost growth

AI solutions make insurance conditions more attractive and easier to use for policyholders. This sets you apart from the competition.

Use Cases: Use Cases for Insurance: Where artificial intelligence is already being used

There is potential for the use of artificial intelligence in insurance companies along the entire value chain: In principle, artificial intelligence can be used wherever you are dealing with repetitive tasks that require intelligent decision-making.

In collaboration with existing customers, we have analyzed and re-evaluated processes and identified innovative approaches after taking a holistic view of existing data flows:

Document analysis for migrations and migration preparation

Based on labeled training data, Artificial Intelligence in the form of Natural Language Processing (NLP) makes it possible to model explicit knowledge. This allows the model trained on a fraction of the data to be applied to the entire collection – extracting relevant text passages from a large amount of data in just a few steps.

Semantic document comparison

Compare the content of two or more documents at a glance: With the help of NLP and a pre-trained language model, you can automate the semantic comparison of different documents.

Extraction of key values from continuous texts

Due to the deep language understanding of modern language models, texts can be semantically grouped and assigned. In addition, key values can be recognized automatically. A combination of these methods allows us to extract key values by category. This allows you to increase the dark processing rate e.g. by automatically pre-populating data fields from continuous texts.

Duplicate detection

Our language model, which has been specially pre-trained for insurance jargon, reliably detects semantic duplicates – regardless of the exact choice of words or formatting. We integrate our model into your template and document management and thus create a user-friendly aid for detecting duplicates. This reduces redundancies, increases text quality and reduces administrative effort.

Pattern and anomaly detection

The stock of data on policies and contracts is a treasure that wants to be put to use. Machine learning algorithms can recognize patterns in your data. Deviations from these patterns – so-called anomalies – provide an indication of faulty contracts, for example, or are used to detect fraud.

Our services: It depends on the right expertise to make AI a success

By combining 25 years of professional and technical experience in the insurance industry with the latest machine learning technologies, we help you identify AI potential in new and existing projects and processes. With a focus on machine learning, data analysis and natural language processing, we work with you to holistically optimize your processes.

We accompany your AI project through all phases – from use case identification, conception, data management and modeling to deployment. You can also take advantage of our training courses to deepen your team’s AI know-how.

Our services for insurance companies

In the Reverse Mentoring Workshop, you will develop a technical and conceptual understanding of ML and understand why and how the algorithm makes its decisions/predictions. The workshop is conducted in the context of a specific use case so that you can apply your knowledge directly in practice.

In the “Exploratory Workshop Machine Learning”, we present our own use cases and identify possible use cases for your company together with you. We classify these use cases according to complexity and benefit and build a backlog for you.

As part of our Outsourced Innovation Lab, we work with you to develop AI models or integrate them into your products. Depending on the customer’s requirements, we take over the complete implementation and provide our infrastructure for this purpose. Even after deployment, we won’t leave you in the lurch – if necessary, you can call on us for technical or specialist consulting.

Convista Kollegen stehen im Büro und tauschen sich über Neuigkeiten und Erfahrungen aus
Convista Kollegen stehen im Büro und tauschen sich über Neuigkeiten und Erfahrungen aus

why Convista: Four reasons for the AI experts at Convista

Technology-independent consulting
We are vendor-independent. Depending on your needs, we search for the appropriate technology and provide support during implementation.

Insurance know-how
We know the specifics, regulations and requirements of the insurance industry. Our team of business consultants and managers has worked in insurance companies for years and brings valuable knowledge of contexts and processes.

Many years of experience in AI projects
From optimizing provisions to automated document incorporation, our AI experts have already implemented numerous projects in the insurance environment. As a result, we are very familiar with various stumbling blocks on the way to the best possible AI algorithm.

Once the AI model has been successfully trained and tested, it should deliver productive added value. Thanks to our many years of DevOps experience, there are numerous options for integration into the existing IT landscape: standalone solutions with a specially developed graphical user interface are just as conceivable as complete integration into the existing IT landscape via all common interfaces. We are also happy to advise and support you in hosting and maintenance.


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