5 Steps for Getting Started with A/R Process Automation

Key Takeaways

Use a set methodology to determine bottlenecks and overly manual, low-impact tasks that waste time, effort and energy
Target the areas ripe for innovation and automation to achieve incremental successes and continuous improvement
Make the case for A/R process automation by detailing benefits-modeling that defines “as-is” and “to-be” scenarios
Identify and involve key stakeholders and the champion within your organization to best position your project and achieve continuous and lasting benefits
Explore available technologies to automate A/R processes and determine which solutions would be of the most value to your organization

Speakers

Jay Tchakarov, Vice President, Product Management and Marketing, HighRadius

Matt Skudera, VP, Research, Credit Research Foundation

About The Webinar

Robotics and process automation are the latest buzz words around the credit space. But how do credit and A/R teams take advantage of this latest technology and improve metrics across their departments? To understand how this technology improves efficiency and effectiveness, credit and A/R teams need to identify the bottlenecks and over-taxed workloads. Manual processes overdue for automation should be targeted, and a convincing process automation project proposal with an outcomes-based approach should be built. Teams need a clear understanding of the different project investments and cost scenarios based on the various deployment technology. Appropriate stakeholders should be involved to achieve the maximum benefits and assured success. Lastly, teams need to know what technologies are available for the various processes along the credit-to-cash lifecycle and how to apply them.

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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.

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