Credit and A/R projects are large, complex, expensive and fraught with risks. This e-book demystifies technologies such as Robotic Process Automation and Artificial Intelligence to help finance leaders transform operations.
Post go-live it is all about evaluating the new processes and applying course corrections as and when required.
Process owners have to revisit KPIs and check whether TO-BE processes that were designed in the audit phase are performing to expectations. Figure 16 shows possible steps needed depending on whether performance of the new system meets expectations or not. If the implementation performs as expected, set these processes for a continuous improvement program for yearly gains. If the performance is not up to expectations, do a root cause analysis and fix the problems. It has been found that most failures mainly fall into three buckets:
Once root-cause analysis has been completed, decide on course corrections. Figure 17 – Steps to correct failures related to user adoption, stabilization and ways to monitor performance. User adoption and adherence to best practices are improved by conducting training programs and disabling access to legacy platforms. Breaking down KPIs to individual teams will also help in a comparative analysis of where each team stands. Addressing process design failure means credit and A/R teams must ?go back to the drawing board? to redesign the process. A system will only be as good as the inherent process that runs on it. Some of the common processes that need reviewing are 1) Credit workflows, 2) Collections strategies and collections segments, 3) Dispute resolution workflows, and 4) Cash Application process.
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.