- AI is transforming indirect tax by introducing probabilistic systems that challenge traditional rule-based certainty.
- Tax leaders must rethink accuracy, balancing the adaptability of AI with the need for compliance and auditability.
- Hybrid approaches combining deterministic rules and AI flexibility are emerging as the optimal solution.
- AI’s occasional mistakes may actually improve overall compliance compared to existing human error rates.
- The blog series aims to help tax leaders make informed decisions about AI adoption, understanding tradeoffs and identifying the right use cases.
Source: fonoa.com
Note that this post was (partially) written with the help of AI. It is always useful to review the original source material, and where needed to obtain (local) advice from a specialist.
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