Complimentary Webinar

Cash Forecasting Technology Buyers’ Guide: Navigating the AI-Hype to Achieve ROI

Speakers

Tracey Ferguson Knight

Director- Solution Engineering Treasury, HighRadius

What you'll learn

  • Learn how to use the ROI Evaluation Framework to realize the soft-cost and hard-cost benefits across different cash forecasting technology options
  • Discover answers to key questions around best-in-class forecasting accuracy and frequency which you should ask while evaluating a cash forecasting technology
  • Understand the IT requirement and complexities involved in integrating with existing IT landscape and business units
  • Deep-dive into the phases of implementation across blueprinting, data modeling and AS-IS TO-BE stages and proactively resolve bottlenecks

About the Webinar

PwC’s CFO survey stated that 60% of finance professionals consider AI-enabled treasury automation to be a priority in the next 2-3 years.

However, treasuries exhibit a degree of resistance to technology adoption especially with respect to cash forecasting because of the lack of information on the phases of solution implementation, the efficacy of automation, and the ROI it can truly generate.

Join us in our 30-min webinar where experienced Treasury practitioner and AI-technology expert, Tracey Ferguson Knight explains what a treasurer can expect while adopting a cash forecasting automation solution and explain how to navigate through the adoption challenges, with ease.




About HighRadius

HighRadius’ Award-winning AI-enabled solutions power 200+ Fortune 1000 companies to optimize their Order-to-Cash and Treasury Process. HighRadius’ Autonomous Systems, comprising of Integrated ReceivablesTM , Cash Forecasting Cloud, RivanaTM and FreedaTM , use AI-powered technology and digital assistants to improve Receivables and Treasury processes beyond best-in-class industry benchmarks.

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HighRadius Integrated Receivables Software Platform is the world's only end-to-end accounts receivable software platform to lower DSO and bad-debt, automate cash posting, speed-up collections, and dispute resolution, and improve team productivity. It leverages RivanaTM Artificial Intelligence for Accounts Receivable to convert receivables faster and more effectively by using machine learning for accurate decision making across both credit and receivable processes and also enables suppliers to digitally connect with buyers via the radiusOneTM network, closing the loop from the supplier accounts receivable process to the buyer accounts payable process. Integrated Receivables have been divided into 6 distinct applications: Credit Software, EIPP Software, Cash Application Software, Deductions Software, Collections Software, and ERP Payment Gateway - covering the entire gamut of credit-to-cash.