2026-09-17 · Source: Insurance News Australia
Summary in 3 Points • Javln's data indicates 80% of pre-renewal and renewal tasks can be automated using AI • Tim Mole of Javln emphasises AI should support, not replace, broker judgment in workflows • AI's role is to reduce operational friction, enhancing efficiency in insurance processes --- Insurance software provider **Javln** has outlined its approach for brokers to effectively utilise **artificial intelligence** tools, focusing on enhancing operational efficiency. Tim Mole, head of document intelligence at Javln, highlighted that the primary benefit of AI in insurance lies in reducing friction within workflows, while maintaining the essential role of professional judgment by brokers. According to Mole, the opportunity is not in AI making decisions, but in handling repetitive tasks that slow brokers down, particularly in pre-renewal and renewal workflows. Javln's data reveals that approximately 80% of these tasks, such as information gathering and document handling, can be automated, allowing brokers to focus on more strategic activities. For the **London Insurance Market**, the insights from Javln are particularly relevant as they align with the market's push towards digital transformation and efficiency. The ability to automate up to 80% of pre-renewal and renewal tasks could significantly impact the **subscription market**, where brokers manage complex, multi-party agreements. By streamlining these processes, brokers can enhance their service delivery and focus on client relationships, a critical aspect in a competitive market. This approach also complements the **FCA's** emphasis on improving operational resilience and customer outcomes in the insurance sector. Brokers and underwriters in the London Market should consider integrating **AI** tools to optimise their workflows, ensuring they remain competitive and responsive to client needs. By automating routine tasks, they can allocate more time to strategic decision-making and client interactions. It is crucial, however, to maintain a "human in the loop" approach, as emphasised by Javln, ensuring that AI supports rather than replaces professional judgment. This balance will be key in leveraging AI to enhance efficiency while safeguarding the quality of customer outcomes.