Kyriba Announces New Agentic AI for Treasury and Finance

Today, liquidity leader Kyriba unveiled TAI, an agentic AI solution. TAI aims to enhance “compliant use of generative Al in finance operations to improve productivity and efficiency amid continued economic uncertainty.”

TAI is designed to simplify complex workflows, identify risks using predictive analytics, and enhance data-driven decision-making across various financial areas, including treasury, payments, risk management, and working capital.

This new solution is a central component of Kyriba’s Trusted AI portfolio. The Trusted AI portfolio, which aims to transcend traditional financial tools by addressing liquidity challenges, also offers such innovative solutions as Cash AI, Invoice AI, and Fraud Detection AI.

This portfolio-wide approach emphasizes industry-leading data privacy while enabling enterprise leaders to make quicker, smarter decisions. Importantly, the design places human judgement and responsibility at the center.

“While many are racing to churn out ‘autonomous’ finance solutions, we’re hearing what leaders are really saying: adopting Al shouldn’t mean compromising on security, control, or risk standards in finance and treasury. As companies continue to face economic volatility, TAl was designed to optimize liquidity performance with nimble, data-driven insights — plus the assurance of integrity, visibility and ownership,” said Kyriba Chair and CEO Melissa Di Donato.

Meeting the Market

The company noted in a press release that TAI does not rely on third-party Large Language Model (LLM) integrations to transform finance and treasury operations. Instead, it is powered by Kyriba’s own embedded LLM and leverages over 20 years of the company’s global liquidity data.

This solution is designed to overcome what Kyriba calls the “Trust Gap,” or a growing divide between the potential benefits of AI-driven financial transformation and concerns about security and privacy risks.

According to a new Kyriba survey of CFOs and treasury leaders in the US, UK, France, and Japan, while a majority (53%) view AI as a significant transformation for their role over the next five years, an even larger percentage (76%) are concerned that security or privacy risks could negatively impact their organization’s financial health.

This mirrors SAPinsider research, which found that data security and privacy issues are a growing concern. These issues, particularly as they pertain to AI, have shown to be the most impactful and significant changes across many key finance areas, including tax.

Meeting TAI

TAI is being showcased at the company’s annual customer conference, KyribaLive, starting May 12, 2025. Attendees, including Kyriba executives, industry leaders, partners, and customers from Kyriba’s Co-Innovation Lab, are hearing about TAI.

What This Means for SAPinsiders

Analytics are shaping the future. SAP organizations need to enhance their decision-making skills in the face of economic volatility. Leveraging AI solutions like Kyriba’s TAI helps businesses to use analytics to identify risk and drive better decision-making.

AI is only as useful as it is ethical and secure. Companies are excited to find and deploy AI solutions that streamline essential workflows. However, implementing solutions that do not secure data or behave ethically can introduce as many new problems as they solve older ones. Organizations must seek out solutions that can be deployed in a way that maintains data security standards.

Adopt a growth mindset. With the challenges facing finance leaders changing every day, CFOs cannot afford to rely on the same tools and solutions they have relied on for years. Leveraging new solutions like TAI can drive innovation and agility while also making sure data is protected.