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Advancing excellence within the Oracle community
Advancing excellence within the Oracle community
Wayne Mandic

Speaker: Andrew Bohnet
Founder and Managing Director Innovate Tax

AI in tax: Beyond the hype to where it actually adds value

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 Andrew Bohnet is the founder and managing director of Innovate Tax, the world’s only Oracle ACE for indirect tax, and chair of the Oracle Tax Management SIG. With 20 years’ implementation experience, Andrew is renowned as the go-to Oracle tax expert. Internationally recognised as the best in his field, he presents globally on all forms of indirect tax, tax technology, and Oracle systems.


Having worked on one of the first Oracle R12 implementations in Europe, Andrew was exposed to the Oracle tax module early in his career and has worked closely to enhance its functionality over the last two decades.  He has worked extensively across Oracle E-Business Suite and Oracle Cloud (Fusion) applications, designing and implementing automated tax solutions for more than 50 multinational corporations. 


Andrew’s commitment to excellence has made him a trusted voice in Oracle tax technology, helping enterprises achieve compliance, efficiency, and digital transformation.


Overview of the Session:


In tax, precision matters. Determination is rule-based and must remain controlled and defensible. AI should not replace that logic; rather it should significantly enhance the environment in which that logic operates. This session explores how AI can improve data governance, detect risk, enhance documentation, be at the heart of your tax control framework and provide predictive insight.


What you’ll learn:


💡Understand the role of AI in tax functions and explain how it enhances, rather than replaces, rule based tax determination processes.

🤖 Evaluate how AI can improve tax data governance, risk detection, documentation, and tax control frameworks within an organisation.

🌐 Analyse the potential of AI to deliver predictive insights and operational value in tax while maintaining accuracy, control, and defensibility.



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