Post Go-Live Best Practices


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.

Contents

Chapter 01

Executive Summary

Chapter 02

Pre-Implementation Best Practices

Chapter 03

Receivables Technology Fit-Gap

Chapter 04

Implementation Best Practices

Chapter 05

Post Go-Live Best Practices

Chapter 06

Summary
Chapter 05

Post Go-Live Best Practices


Post go-live it is all about evaluating the new processes and applying course corrections as and when required.

Evaluate KPIs

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. Performance Analysis Post Go-Live 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:

  • User adoption: Poor user adoption is a big factor in process failure for improvements but is only apparent when users start affecting the processes through adoption
  • Failure to adhere to best practices: This is also another major factor in failure as each process has a set of best practices to follow for maximum impact
  • Poor process design: This scenario is not as frequent as the above two but could happen if the process designed was not up to the mark

Apply Course Corrections

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. Three areas for course corrections 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.

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HighRadius Credit Software automates the credit management process, enabling credit managers to make highly-accurate credit decisions 2X faster and enable faster customer onboarding with 4 primary components: configurable online credit application, customizable credit scoring engines, credit agency data aggregation engine, and collaborative credit management workflow. Along with that, there are a lot of key features that should definitely be explored some of which are online credit application, credit information aggregation, automated credit scoring & risk assessment, credit management workflows, approval workflows, and automated bank & trade reference checks. The result is faster customer onboarding, better internal collaboration, higher customer satisfaction, more targeted periodic reviews, and lower credit risk across the company’s customer portfolio.