Support Service for Implementing Generative AI in Closed Environments for the Insurance Industry
Utilizing AI in insurance operations with zero risk of information leakage.
In the insurance industry, we handle highly confidential information such as customer data and contract information. In risk assessment, accurate analysis and quick decision-making based on this information are required. The use of cloud AI raises security concerns and presents challenges in integration with internal systems. Our closed environment support service for the implementation of generative AI eliminates the risk of information leakage and allows for the use of generative AI in a secure environment. 【Use Cases】 - Analysis of customer data - Prediction of risk patterns - Acceleration of insurance payment processes - Detection of fraudulent claims 【Benefits of Implementation】 - Elimination of information leakage risks - Significant improvement in operational efficiency - Enhanced analysis accuracy - Improved customer service
basic information
【Features】 - Building generative AI systems in closed environments (on-premises / internal networks) - Integration with internal data (file servers, databases, etc.) - Access control and security design - Operational design / establishment of usage rules - Tuning and support for utilization after implementation 【Our Strengths】 Implementation support that balances safety and practicality.
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Applications/Examples of results
AI can be utilized in a way that is directly linked to daily operations. • Searching and summarizing internal documents • Automatic generation of business manuals • Drafting reports and proposals • Streamlining knowledge sharing • Automating inquiry responses
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Total proposals from various construction projects to IT consulting. A unit house that can be completed just by connecting the desired buildings. Introduction and operation of a web sales system for acquiring new customers. Currently expanding operations in day services and various other businesses.


















































