Artificial intelligence in the insurance industryBecause working time is valuable!
How to free your professionals from monotonous work, speed up processes and reduce costs.
Using artificial intelligence successfully in the insurance industry
Speed up processes, reduce costs and increase customer satisfaction
through highly efficient cooperation between man and machine
How can you effectively use artificial intelligence in the insurance industry? Rethink your processes and go digital - gain a competitive edge. We are convinced that digitization is changing the world of work. Because working time is too valuable to spend on monotonous work that machines can also do.
With our AI-based inserve Intelligent Document Processing Platform (IDP) Artificial Intelligence in the insurance industry, our customers automate and maximize specialized data extraction to increase dark processing in policy and claims processing.
Automation combines four benefits: relieving the workload of specialists, reducing costs, making additional data available, and improving the customer experience. These are four essential factors that can set you apart from your competitors in the insurance market.
Automotive claims management out-of-the-box
For new dimensions in claims creation, we offer you an industry standard for automotive claims management with pre-trained AI models. We provide the results from successful proof of concepts for you. Our out-of-the-box solution has already processed more than 200,000 pages in automotive claims management. Start directly with our more than 50 AI models! These have been pre-trained with representative documents and can be used by you immediately.
Profiting from artificial intelligence in the insurance industry
Increase dark processing by automating document-based processes with AI.
Optimizing data quality through machine learning: training instead of programming.
Relieving employees of monotonous tasks creates resources for complex clerical activities.
Man & Machine
The sensible combination of machine-based, monotonous work with intelligent, human work, is highly efficient.
Acceleration of processes increases productivity and reduces costs.
Large volumes of documents
Through permanent improvement, insurance companies want to act faster and more customer-oriented on the market than the competition. To achieve this, document-based processes must be automated ("dark"). Despite all the progress in digitization, for example through apps, portals and data exchange standards, large volumes of documents still have to be structured, classified and their information read out.
The starting point in our customer situations is a high manual effort in input management. Automation is often too time-consuming and inflexible, and recognition rates are too low. Especially when the specifications of the departments have to be programmed as complex sets of rules. This applies to continuously incoming document streams, but also to grown, extensive document inventories.
inserve IDP platform
A key success factor for process automation is the consistent abandonment of rules and regulations. Instead, rely on our highly automated artificial intelligence: training instead of programming. Your specialists or members of our service team efficiently train all processing steps and check the results. By specializing AI models on concrete, clearly defined tasks, implementation efforts are minimized while maintaining high automation rates. Work is sustainably shifted from clerical processing to AI and input management. More information about the IDP platform.
Request your personal product demo now!
You want to process the information from various documents and files quickly, efficiently and automatically? We will show you how our ki-based platform can be used to process and analyze even documents with little structure and complex technical requirements in a time-saving manner.
Use cases for artificial intelligence in the insurance industry
Intelligent switch in input management
- Separation through fully automatic recognition of special and business-critical documents and transaction types already before input management
- Extensive "dark" subject data extraction of these documents with specialized, trained AI models.
- Fast and complete provision of the specialist data to the downstream system
Invoice Receipt Processing
- Invoice identification
- Recognition of header and footer data of the invoices
- Position data extraction
- Logical validation of the invoice contents
- Detection of exceptions and inconsistencies
- Automatic structuring of document sets based on visual and textual features (clustering) without training effort
- Establish transparency about the documents actually processed in Input Management
- Recognition of the line of business, the insurance branch and the type of insurance
- Recognition of damage reports
- Extraction of information relevant to the claims system
- Provision of the claims data to the customer system
- Recognition of insurance-related document types
- Extraction of technical insurance data
- Provision to actuarial core systems
- Recognition of applications and the applicable insurance product
- Extraction of the contained, contract-relevant specialist data
- Transfer of the checked data to the specialist system for contract creation
3 good reasons for your cooperation with inserve
Our AI experts have already carried out many AI projects, especially in areas with sensitive data, such as insurance companies and law firms. As a result, we are very familiar with the possibilities and also the stumbling blocks.
We know the special features, regulations and requirements of the insurance industry. Our AI experts have worked in the insurance industry for years and bring valuable knowledge about contexts and processes.
"Real" Artificial Intelligence
Our success factors are the consistent avoidance of rule sets, an optimized result if rule sets are already in use at the insurer and the integration into existing tools and workflows without interface programming.
Flexible service and operating options
Software as a Service
Private & Public Cloud
CustomerCases: Where Artificial Intelligence is already in use with our customers
Use Case Motor Vehicle Damage
We are convinced that working time is valuable. And we pass this on to our customers. Find out how we help our customers to hand over monotonous work to machines and thus really make a difference in their working time.
Use Case Glass Damage
For another example of how we have integrated more digitization and less monotony into our customers' everyday work in digital claims management, see our Glass Damage Use Case.
Monotony was yesterday, digitization is now!
If you believe, as we do, that working time is too valuable for monotony, stay in touch with us without obligation. With our news on the latest trends, we regularly inform you about topics related to digitization.
Artificial Intelligence News & Trends
Stay up-to-date on Artificial Intelligence in the insurance industry with our inserve blog!
We will show you how you can successfully use AI in insurance companies for digital claims management using the example of a glass damage customer case.
Clustering is the first step to understanding your document inventory. Put your data to work for your business.
The management of new claims has always been a challenge for insurance companies. The incoming mail must be structured, recorded, processed and settled as quickly as possible. Artificial intelligence and machine learning are now being put to practical use in the digitization of claims management.
We are at your disposal for any questions you may have
With the online tool Calendly you can choose your desired appointment directly online. Book your 30-minute meeting with our IDP expert Christiane Tetzner today and receive a calendar invitation with access link to your personal team meeting.