Transfer pricing, part 2: Where AI actually helps

ยท Benvolio Team

Tax professional working at a computer in a structured office environment with organized document files

AI in transfer pricing: the value is in the reasoning, not the output.

In the first part of this series, we looked at why transfer pricing defensibility depends less on the existence of documentation and more on whether a position can be explained, consistently and under scrutiny. That conclusion raises a natural question: where does AI actually fit into this picture?

The discussion usually starts in the wrong place

AI tools are increasingly being applied to transfer pricing work, and the discussion tends to focus on speed and volume: how quickly a memo can be drafted, how many documents can be processed, how much time can be saved on routine tasks.

These gains are real. They are not the most important question.

The more significant contribution AI can make to transfer pricing is supporting the reasoning behind a position, not just the production of it.

What "supporting the reasoning" actually means

In practice, this means helping tax professionals:

  • make assumptions visible rather than embedded.
  • connect factual analysis to legal and fiscal interpretation.
  • identify inconsistencies between contracts and conduct.
  • surface documentation gaps before they become audit vulnerabilities.
  • structure risk points systematically rather than leaving them implicit.
  • preserve a review trail that reflects how a position was built and what professional judgment was applied.

This matters because transfer pricing positions have a long life. A memo prepared today may be reviewed in a dispute that takes place three years later. A pricing policy applied now may be challenged after the business has changed. A local file prepared for routine compliance may become evidence in a serious examination.

The quality of the reasoning, and the degree to which that reasoning is preserved and accessible, can determine how the company performs under scrutiny.

Judgment is not the part AI replaces

Transfer pricing is too context-dependent for AI to replace professional judgment. The same transaction structure can carry different implications depending on the jurisdiction, the functional profile of the entities involved, the contractual terms, the market conditions and the actual conduct of the parties. No system resolves those questions without a professional who understands them.

What AI can do is make the professional's reasoning clearer, more consistently structured and easier to inspect, both in the moment and later, when the company needs to explain itself.

The goal is not faster output. It is more defensible reasoning.

This is the principle Benvolio is built around. Rather than producing a memo or a conclusion in isolation, the platform is designed to surface the assumptions, the connections between facts and legal interpretation, and the points where professional judgment was applied, so that the reasoning behind a position remains visible and inspectable, not just the result.

For tax and legal teams working under increasing scrutiny, that visibility is often what makes the difference between a position that holds and one that doesn't.

If your team is working on transfer pricing documentation and wants to understand how the platform supports that work, we'd be glad to walk you through it.

Get in touch with a Benvolio representative and see what a more structured approach looks like in practice.