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AI Use Case: Tax Time Nudging


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Added by:   OECD analyst
Added on:   26 Oct 2026
Updated by:   OECD analyst
Updated on:   26 Oct 2026

We have developed AI models to help reduce taxpayer compliance costs and improve the efficiency of the tax system. We use these models to prompt individuals completing their tax return online through myTax to help them get it right. The real-time prompts ask the taxpayer to check amounts they have entered for certain tax return labels. This is when the amounts don't match what we expect when compared to other taxpayers with similar attributes or amounts entered in previous years.

Initiative overview

Real-time analytics enabled over 712,000 real-time prompts to taxpayers to check amounts in their 2023–24 income tax returns for mistakes they may have made. This resulted in an estimated $92.6 million of revenue protected by averting incorrect returns. Providing tailored assistance when needed makes the tax return process easier for taxpayers and contributes to a more efficient tax system. Supporting voluntary compliance through proactive and preventative activities is key to sustainably reducing the tax gap. The tax gap is the difference between what the ATO expects to collect and what would have been collected if every taxpayer was fully compliant with the law.

While real-time analytics nudge messaging has been successful, the ATO is cautious with its approach to expanding the program. The ATO recognises that adding more nudge messages may diminish their impact on taxpayer behaviour. It is therefore carefully considering how the program may be extended while striking the right balance. The ATO continues to assess how advances in AI technologies and techniques can enable further improvements to the tax time experience and help support taxpayers to voluntarily comply with tax obligations.

About the policy initiative


Category:

  • AI policy initiatives, programmes and projects

Initiative type:

  • AI use cases/projects in the public sector

Status:

  • Active

Start Year:

  • 2016

Target Sectors:


Other relevant urls:

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