Indirect tax compliance doesn’t have to be burdened by manual processes. This guide compares traditional and touchless workflows across data processing, validation, reconciliation, and filing, highlighting how AI-powered automation can help tax teams reduce risk, improve accuracy, and reclaim time for higher-value work.

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Following insights from a recent webinar, Mark Oh explores how indirect tax compliance is rapidly shifting toward real-time reporting—driven by increasing regulatory scrutiny—and why organisations must embed AI into transaction workflows to detect, manage, and resolve issues earlier in the lifecycle. By moving beyond traditional, end-of-period processes, tax and finance teams can strengthen data accuracy, reduce compliance risk, and stay audit-ready in an always-on reporting environment.

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Touchless compliance represents the next evolution of indirect tax automation, using agentic AI to autonomously manage workflows, detect anomalies, and maintain real-time visibility. By reducing manual effort and shifting teams to exception-based review, it enables greater accuracy, scalability, and strategic focus without increasing headcount.

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Indirect tax compliance in Australia is becoming more complex, with rising ATO scrutiny and increasingly strict expectations under programs like Justified Trust. Many tax teams still rely on manual processes that create risk, inefficiency, and limited audit visibility. This article outlines nine common challenges and how technology can help teams move toward consistent, audit-ready GST compliance.

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This Budget reshapes Australia’s corporate tax landscape. Alongside headline reforms to CGT and trusts, businesses get new opportunities through loss carry‑back, a permanent instant asset write‑off and expanded R&D incentives—if they act early.

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The OECD’s global minimum tax is transforming international tax compliance, but it’s also exposing serious data gaps for multinational organisations. This article explores why Pillar Two dramatically increases data complexity and why tax and finance teams need more connected, reliable data models to manage risk and reporting obligations.

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