Complimentary Webinar

Transforming Treasury: The Application of First Principles Thinking

Transforming Treasury: The Application of First Principles Thinking

Speakers

Tracey Ferguson Knight

Director- Solution Engineering (Treasury) HighRadius

Craig Jeffery

Managing Partner,
Strategic Treasurer

What you'll learn

  • Understand the fundamental activities of treasury
  • Align treasury activities with corporate business goals
  • Deconstruct treasury into resources, functions, tools and then reconstruct from the ground up to drive process improvements
  • Evaluate technology options such as cloud, API to overcome process inefficiencies
  • About the Webinar

    A first principle is a basic assumption that cannot be reduced further. First-principles thinking involves
    deconstruction (breaking down complicated problems into basic elements) and then the reconstruction
    (reassembling them) in order to make better decisions, processes, and systems.

    In this webinar, Craig Jeffery and Tracey Knight will explain how true treasury transformation requires
    an examination of foundational requirements by using first principles thinking.




    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 Cash Forecasting Cloud – an advanced forecasting system – leverages the proven RivanaTM Artificial Intelligence (AI) platform to provide the most accurate cash flow forecasts – right from a ledger account level and rolling up to the organizational level. Delivered as a Software as a Service (SaaS), the solution seamlessly integrates with your company’s ERPs, accounting systems, banks and order management systems. Multiple AI and Machine Learning algorithms process datasets including bank statement inflows/outflows, sales orders/customers invoices, purchase orders/vendor invoices and expense reimbursements for comprehensive as well as accurate cash flow forecasts. The closed-loop, machine learning feedback system ensures that the forecast models become more accurate with time.