Augmenting Technology

What sets us apart is our ability to train these advanced models on vast amounts of proprietary insurance data collected from over a million insurance documents. This ensures our AI solutions are uniquely adapted to the complexities of claims management, underwriting, portfolio assessment, and other core functions.

By using AI agents, our systems can autonomously handle repetitive tasks, provide expert-level insights, and assist professionals in making faster, more informed decisions. With this combination of generative AI, LLMs, and proprietary data, we empower insurers to augment their operations, improve decision-making, and unlock unprecedented efficiency and insights.

01 About AI Agents

AI Agents represent the next evolution of artificial intelligence, capable of operating autonomously and performing a wide array of tasks on behalf of users. These agents can understand, interpret, and execute complex tasks in specific contexts. Unlike traditional AI models, AI agents are able to collaborate with other agents, delegate tasks, and work more dynamically within workflows, thereby reducing the burden on human professionals while enhancing efficiency.

02 Relevance for insurance

In the insurance industry, managing vast amounts of information is a critical challenge, with insurers receiving over 5 billion documents annually. Traditionally, only humans could process and interpret these complex documents. However, AI Agents now offer a groundbreaking solution by autonomously reading, analyzing, and acting on this information. These intelligent agents can handle massive volumes of unstructured data with speed and accuracy, transforming workflows and empowering insurers to focus on more strategic tasks.

03 Impact

AI Agents build the foundation to use Generative AI deep inside the operations and to augment, automatise and rethink business processes. Insurance is expected to be one of the industries that will benefit and change most from the use of AI with efficiencey gains of 100% - AI Agents are exepected to boos thie impact by at least another 40%.