Expected Outcomes from Redesigning the Tax Associate Role
Reduction in transactional tasks
By leveraging on machine learning, transactional tasks such as data gathering, extraction and categorisation of data can be automated.
Tax associates enabled with data visualisation tools are better able to provide predictive and prescriptive analytics that would provide valuable insights for businesses.
Increase job value through technology
Training employees to use technology enhances the value of their jobs, reducing reliance on manual processes and increases job satisfaction and meaning.
Upskilled workforce with technology expertise
By redesigning tax associates’ jobs, employees can learn and implement new technologies in their daily work.
Increase in efficiency due to automation
Through automating selected processes, tax associates can save time in their day-to-day job, resulting in a less stressful tax filing process. Click here for more information on the details.
Processes Recommended for Quick Wins
There are many processes that can be automated through RPA. However, as each organisation is different, organisations need to consider their available resources (financial and non-financial), identify and prioritise processes that would be most meaningful for them to automate first. Below is a summary of key data points collected from our pilot project for reference. Variance refers to the level of repetitive work involved in a task. A task with high variance would require more human intervention and attention compared to tasks with medium or low variance.
Expected Outcomes of Automation
|Sample Process |
|Data management and document preparation||Up to 70%||
|Document submission||Up to 70%|
|Manage tax controversies||Up to 16%|