2026-02-27 · Source: Insurance Journal
Summary in 3 Points • Crisil Coalition Greenwich survey reveals slow adoption of artificial intelligence in corporate treasury departments • Over 100 global firms report challenges integrating AI into critical corporate finance functions • Slow AI adoption in treasury highlights potential gaps in operational efficiency and risk management --- A recent survey conducted by **Crisil Coalition Greenwich** has highlighted the slow adoption of **artificial intelligence** tools within corporate treasury departments. The survey, which included responses from over 100 firms globally, underscores the challenges these departments face in integrating AI into their operations. Despite the potential benefits of AI in enhancing efficiency and decision-making, many treasury departments are struggling to implement these technologies effectively, indicating a significant gap in the penetration of AI in corporate finance. For the **London Insurance Market**, this slow adoption of **artificial intelligence** in treasury functions could have several implications. As treasury departments are crucial in managing a company's financial health, their lag in adopting AI may affect overall corporate risk profiles. Insurers and brokers in the London Market may need to consider these technological gaps when assessing the financial stability and risk management strategies of their corporate clients. The survey results suggest that there could be opportunities for insurers to offer products or services that support the integration of AI in treasury operations, potentially enhancing their clients' operational efficiency. **Underwriters** and **risk managers** should be aware of the potential risks associated with the slow adoption of AI in corporate treasuries. This lag may lead to inefficiencies and increased exposure to financial risks that could impact underwriting decisions. Brokers might consider advising their clients on the benefits of adopting AI technologies to improve their treasury functions, thereby enhancing their risk management capabilities. By understanding the challenges and opportunities presented by this slow adoption, insurance professionals can better tailor their offerings to meet the evolving needs of their clients.
For the London Insurance Market, this slow adoption of artificial intelligence in treasury functions could have several implications. As treasury departments are crucial in managing a company's financial health, their lag in adopting AI may affect overall corporate risk profiles. Insurers and brokers in the London Market may need to consider these technological gaps when assessing the financial stability and risk management strategies of their corporate clients.