In the insurance industry, agentic AI is transforming claim processing by enabling autonomous systems to perceive, reason, and act independently. Insurers are investing in these technologies to deliver hyper-personalized customer experiences and capitalize on the growing $79.86 billion AI insurance market. AI tools like natural language processing, image classification, and vector embedding help insurers effectively manage claim-related data, generating precise catastrophe impact assessments and minimizing financial losses. An agentic AI agent manages a multi-step claim processing workflow, analyzing policy information and related documents using large language models and storing the outcomes in an Atlas database. The agent's autonomy is crucial to its effectiveness, but requires careful balancing between reliability and prescriptiveness. By crafting a prompt that describes the scope and goals of the task, developers can help agents understand their context and operate effectively, even if they lack complete autonomy.