Treasury Technology
Published  4 MIN READ

Going Above and Beyond: Treasury Technology Pioneers

There is a big difference between simply using technology and leveraging it to the fullest extent. FIS, a global leader in financial services technology, with a focus on treasury and risk management, payments and credit and collections, has been helping clients to maximise the value they achieve from technology, and taking their treasury operations to the next level of efficiency and sophistication. This hard work has been rewarded by the TMI 2019 Innovation & Excellence Award for Best Cash & Treasury Management Solution. And three of FIS’ clients scooped accolades for their collaborations with the vendor.

Having turned 30 years old in 2019, the FIS Integrity SaaS solution is one of the longest tenured treasury systems in the marketplace. This does not mean that the offering is standing still, however. The system was recently completely rebuilt, reinvented, and re-released, as the Integrity v10 SaaS solution, with an overhaul of underlying technology, and expanded functionality. 

In 2019, FIS continued aggressively investing and innovating within the Integrity solution. First, the entire system user interface was overhauled to improve customer experience. Next, API capabilities were expanded, empowering treasury to innovate faster and to more readily integrate across all common connectivity points, including banks, trading systems, rate providers, and enterprise resource planning (ERPs) systems, thereby establishing simpler, more streamlined connectivity. In addition, the payments functionality was enhanced, helping corporates to send payments faster, while reducing international processing costs at the same time.

Elsewhere, FIS has been rolling out artificial intelligence (AI) and robotics functionality and will continue to do so in 2020. Areas of investment include: cash forecasting, cash reconciliation, system management, and payments – the latter will see machine learning capabilities identify suspicious payments and automatically flag them for review, for example.