![]() ![]() "Most of our customers, particularly in the fines and debt space, have a long history with Revenue NSW they have significant debt that they owe and actually getting to a point where we can have a conversation and understand them, we can't do that for everyone," he said. Through that function, Revenue NSW has diverted approximately 15,000 people a year from a pathway into something "more satisfactory and supportive", such as work development orders, community service, counselling, or rehabilitation, according to Johnston. Initially, AI was introduced to help divert customers deemed as vulnerable away from "really strong enforcement action" due to owing debt to Revenue NSW and towards alternative options. The agency has been leveraging such technology since 2018. This will not be the first time Revenue NSW has turned to AI and data analytics. There's extreme urgency to ensure that people got the money that they needed to but also to do it in the right way, and a lot of responsibility over the next six months and 12 or more will fall on us to effectively drive this this effort." ![]() "A quarter of a million businesses received grants through this process. " using a rule-based system where we can enhance irregular patterns in the data that we're seeing and quickly move them through a modelling process into investigation for fraud and compliance," Scott Johnston, Revenue NSW deputy secretary and State Revenue chief commissioner, told the audience at the 2021 digital.NSW event. Revenue NSW has turned to using AI and data analytics to help it work through compliance efforts to assess whether people were overpaid or if there were fraud cases as a result of recent COVID-19 businesses grants that were provided by the state government. ![]()
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