In the evolving world of transfer pricing, the burden of documentation has grown heavier, more jurisdictions, more complexity, tighter deadlines. But leading-edge tax functions are turning this challenge into an opportunity, using Artificial Intelligence (AI) to transform how documentation is created, reviewed, and validated. At the forefront of this shift is TPGenie from Intra Pricing Solutions, a platform that goes beyond automation and into intelligent enablement.

Let’s pull back the curtain to show how AI is working behind the scenes in TPGenie, reshaping how modern tax teams approach transfer pricing documentation—and what that means for the future of the function.

AI-Powered Documentation: A Shift from Manual to Meaningful

Traditionally, transfer pricing documentation has been labour-intensive, by gathering data, formatting narratives, running benchmarking analyses, converting currencies, and checking local compliance boxes. TPGenie is changing this by embedding AI across its core modules, making documentation faster, smarter, and more strategic.

One of the most visible applications of AI is TPGenie’s AI Writing Assistant, integrated via ChatGPT. This feature helps tax professionals draft and refine sections of the local file, including functional and economic analyses, with greater consistency and quality. The assistant reviews grammar, detects structural inconsistencies, and highlights possible logic gaps, helping ensure that narrative quality matches the technical accuracy expected by tax authorities.

Rather than replacing human expertise, this AI module augments it by freeing professionals to focus on higher-value work like interpreting policy, advising the business, and preparing for audits.

AI in Benchmarking: From Raw Data to Defensible Insights

Benchmarking is a cornerstone of TP compliance, but sourcing comparable companies, filtering financials, and building defensible arm’s length ranges can take weeks. TPGenie’s AI-enhanced benchmarking module accelerates this process dramatically. Using AI, the tool can:

• Crawl, interpret, and translate company websites to help validate qualitative comparability.
• Filter companies by NACE code, geographic scope, size, and financial metrics.
• Automatically calculate profit level indicators (PLIs) and generate benchmarking sets.

What once required hours of manual screening is now completed in minutes—with full audit trails, adjustable filters, and ready-to-export documentation. The result? Professionals spend less time sourcing data and more time defending their position and advising on strategy.

The TP Copilot: AI-Powered Risk Detection

Another innovative feature is TPGenie’s TP Copilot, an AI-driven validation engine that acts like a second set of eyes, constantly scanning documentation for risks. It highlights:

• Unusual margins or outlier financials.
• Mismatches between intercompany charges and functional profiles.
• Inconsistencies across documents that could trigger tax audit red flags.

This proactive risk detection transforms the documentation process from reactive to preventative. Instead of responding to audit findings, TP professionals can identify and resolve potential issues before reports are submitted.

Why It Matters for CFOs and Tax Leaders

Adopting AI-enabled tools like TPGenie is more than a tech upgrade, it’s a strategic move toward a smarter, more agile transfer pricing function. With faster documentation, stronger audit readiness, and enhanced data accuracy, AI empowers TP teams to shift from routine compliance to strategic impact.

By embracing these capabilities today, CFOs and heads of tax aren’t just improving processes, they’re future proofing their organisations and nurturing the next generation of TP leaders. The future of transfer pricing is intelligent, proactive, and AI-powered and it starts now.