- The main barrier to implementing AI in tax functions is data quality, not technology.
- Companies like Amazon, Meta, and Zoom emphasize starting AI projects even before all resources or expertise are in place, building capabilities as they go.
- AI is seen as intelligence that increases execution speed and output, not just a tool.
- Human oversight remains essential; AI outputs are always reviewed and monitored to ensure accuracy.
- Continuous improvement and adaptation are necessary as data and business needs evolve.
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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