In today’s episode, Craig Jeffery discusses key pain points in AR with Bryan Way from Corcentric. They address challenges in payment timing and invoicing processes, emphasizing the importance of better visibility and forecasting. They also discuss key considerations when deciding to build or buy a solution, with a reminder to focus on results over software solutions.
The Liquidity Risk Survey was first run in 2011, probing treasury and finance practitioners on their views surrounding managing liquidity, investing, borrowing, and various risks. This webinar will cover highlights from the survey’s most recent iteration. With a total of 11 years of longitudinal data, the webinar will consider shifts over time in areas such as counterparty exposure monitoring, investment vehicle use, ESG programs, the relative prioritization of safety, liquidity, and yield, and more.
In today’s episode of the Treasury Update Podcast, Paul Galloway shares three examples of traditional debt funding structures. Listen in as he breaks down syndicated loans, senior debt, and revolvers. Learn what makes each of these financing tools unique and why treasurers may strategically choose one over the other.
The treasury management system (TMS) automates and streamlines treasury’s core tasks, forming a central dashboard for the treasury function and freeing staff for more strategic work. Recent years have seen some TMS vendors expanding into enterprise-wide solutions for tracking and managing liquidity, giving rise to the distinct enterprise liquidity management (ELM) category. From the basic TMS to the highly advanced TMS and the more comprehensive ELM system, each solution serves a segment of treasury departments. This webinar will cover the current TMS and ELM landscapes, innovations, and leading practices for selection and implementation.
In today’s podcast episode, we’ll hear a discussion between Craig Jeffery and Yogaraj Jayaprakasam on the transformative power of generative AI in treasury. They discuss generative AI’s transformative impact on communication, reasoning, and domain-specific applicability, as well as how Deluxe is looking at the adoption of AI.