Struggling to know where to start with AI? Your adoption strategy is key to finding the right tax use cases, say Chris Rogers and Christoph Steiner.
“Where do we even begin?”
This is a familiar refrain from our conversations with tax leaders about embracing artificial intelligence. There’s no end of hype surrounding AI’s potential to transform business functions, including tax. And there are hundreds of AI-powered tax tools out there. The result is an almost overwhelming list of potential use cases for AI in tax.
That doesn’t mean basic administration, like writing emails and scheduling appointments: they’re not tax use cases.
Genuine tax use cases include reviewing and summarising huge amounts of documentation for a due diligence exercise, which would take humans thousands of hours to complete. They include uncovering value by identifying relevant credits and incentives, such as R&D or capital allowance claims.
AI solutions can also review tax returns and spot inaccurate or sub-optimal positions. They can analyse large volumes of transactional data, distinguish between deductible and non-deductible spend, or unearth anomalies in VAT code allocations.
They can even assess the permanent establishment risks in a transaction or business development – then write the risk memo for you.
Little wonder, then, that tax leaders are struggling to know where to start.