Expert.ai, a leading company in implementing artificial intelligence enterprise solutions to create business value, announces the enhancement of its solutions for the insurance industry.

EidenAI Suite offers advanced solutions to optimize claims management, policy personalization and fraud prevention. Based on a hybrid AI approach that puts the customer at the center in a logic of high return on investment for low adoption costs (“High-ROI-Low-TCO”), EidenAI Suite offers a package of modular, ready-to-use solutions designed around the real needs of the insurance supply chain. Implemented end-to-end, integrated into existing platforms, or adopted individually or to augment the performance of legacy systems, EidenAI Suite solutions support the entire insurance operations cycle, facilitating a smooth transition to an AI augmented work environment where human expertise, innovation, and technologies combine to unleash maximum potential.

“We have concentrated the best of AI and industry experience gained from working with some of the most important insurance companies and insurtech players into our EidenAI Suite. We leverage hybrid AI to work alongside our customers to address an ever-increasing range of use cases,” said Daniele Cordioli, Global VP Marketing and Business Development, expert.ai. “With our ability to apply or mix the most effective technologies to the problem to be solved if a single technology is not enough, we want to transform the perception of AI and change the paradigm of its adoption in the insurtech ecosystem: rather than people adapting to AI, AI adapts to people. Our customer-centric vision ensures more intuitive, personalized and human-centric AI-driven interactions.”

At Insurtech Insights Europe 2025, expert.ai demonstrated the distinguishing factors of its EidenAI Suite and the benefits of hybrid AI for successfully navigating the AI adoption path in insurance processes.

Among the main innovations introduced with EidenAI Suite is the ability to govern different language models (LLM) with a symbolic AI and knowledge graph approach, and to leverage not only Generative AI but also Agentic AI techniques to enable specialists to proactively interact with technologies, optimizing results and improving performance to increasingly fit business objectives.