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FIS, a financial technology company, has announced the launch of Treasury GPT, an AI-powered product support tool designed to enhance corporate treasury operations.
Treasury GPT, one of the first generative AI (GenAI) solutions focused on treasury, is designed to improve efficiency by automating routine inquiries. The intent is that this will enable treasurers to focus on higher-value tasks such as liquidity management and financial strategy.
The new tool exists within the existing FIS Treasury and Risk Manager – Integrity Edition and is built using the Microsoft Azure OpenAI Service.
Integrated within FIS, the tool uses Microsoft Azure OpenAI Service to provide users with real-time assistance on platform configuration, product information, and best practices.
JP James, Head of Treasury and Risk at FIS, said, “Treasury professionals manage complex financial environments, and AI-driven tools can help improve decision-making by providing timely and relevant insights. Treasury GPT is aimed at streamlining support processes and optimising the use of FIS solutions.”
Treasury GPT’s introduction comes amid a wider trend in financial services towards the adoption of AI services – and for good reason. Research from PwC, a consultancy, found that 89% of CEOs leveraging GenAI expect it to impact their business models within the next three years.
Jacqueline O’Flanagan, head of Financial Services for the Americas at Microsoft, said, “As modern business management becomes increasingly complex, we continue to identify opportunities to help drive digital transformation for people, organisations, and industries around the world. Treasury GPT addresses a host of efficiency and workflow challenges for corporate treasurers and CFOs, and integrating with Microsoft Azure OpenAI Service empowers those leaders to drive growth and manage new risks.”
The use of artificial intelligence (AI) in treasury management is growing. A report from KPMG, a consultancy, found that 64% of organisations are exploring AI in their treasury functions, either through pilots or live implementations. In general, these firms turn to AI tools to help with data analysis, financial forecasting, and fraud detection. Analysts tend to agree that AI adoption will continue to grow.
However, despite the momentum, challenges remain. Data security, regulatory compliance, and the need for specialised expertise continue to be key barriers to full AI integration in treasury operations. Challenges that FIS hopes to work towards addressing with their latest release.
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