Insurance

The quality and performance of AI assistants play a critical role in their success in real-world applications. But how can companies accurately assess whether a large language model (LLM) meets their specific business needs? mgm technology partners has developed the AI Evaluation Framework - a systematic approach to objectively evaluate and optimize AI results.

Insurers need risk- and billing-oriented functionalities for the automated processing of business with underwriting agents. Thanks to the modular approach of mgm Cosmo, digital solutions can be provided that are precisely tailored and without functional ballast.

More and more insurance companies are introducing AI solutions. After initial euphoria, disillusionment often follows as the solutions do not deliver the expected results: AI responses are imprecise, hallucinate or simply do not do what the user expects.

In commercial insurance, complex data is processed: Risk assessment, underwriting and claims processing are confronted with extensive documents, evaluations and correspondence on a daily...

The Cosmo Bordero Tool in combination with the Cosmo AI Assistant supports accounting and operations in automating settlement processes.

For the insurance industry, artificial intelligence (AI) offers enormous potential for differentiation in the customer approach and for increasing internal efficiency. However, many Chief Information Officers already have a full to-do list, as the top priority of "digitizing the business" is often still in its infancy. The task now is to bring AI into operational implementation as a second game changer. Can the two go together?

In the insurance industry, creating quotations ranks among the most challenging tasks that brokers and underwriters face daily. These processes demand not only deep...

The Cosmo AI Suite is a comprehensive collection of tools and applications specifically designed to address AI challenges for industrial insurers and brokers. The components can be combined freely, operated with any insurer and broker software, and accelerate the development of AI solutions.

In this interview with Benjamin Zühr, we explore the important role of enterprise low code in underwriting, particularly for risk assessment and risk management. Enterprise Low Code is now helping to build a flexible and digital IT landscape and find secure, scalable solutions that fit seamlessly into the existing infrastructure.

The digital transformation of industrial insurers and brokers is a process that can take several years from decision-making to successful implementation. A clear definition of roles is of central importance. This article looks at the essential roles within the core team that are vital for success.