Why Attend
Transfer pricing is one of the most research-intensive and complex areas of tax. Professionals working in this field must navigate dynamic international rules such as the OECD BEPS framework, extensive documentation requirements including CbCR, and highly data-driven analyses involving comparables, industry trends, and economic indicators. At the same time, transfer pricing is increasingly scrutinized by tax authorities, making accuracy, consistency, and defensibility critical.
Despite this complexity, much of the research work in transfer pricing remains manual and time-consuming. Professionals spend significant portions of their time searching through legislation, guidance, case law, databases, and internal documentation. This limits capacity for higher-value analysis and strategic judgment, particularly in areas such as risk assessment, dispute resolution, and intangibles.
This webinar explores how the next generation of ChatGPT and AI-powered research tools can support transfer pricing professionals in this environment. Rather than replacing expertise, AI changes how research is performed by accelerating access to information, structuring insights, and supporting analytical workflows.
By attending, participants will gain insight into:
Why transfer pricing is particularly suited for AI-supported research
How AI can reduce time spent on manual research and documentation
How AI reshapes the research and analysis process in transfer pricing
Where human judgment remains essential in complex TP decisions
The session is designed to help transfer pricing professionals understand how AI can be integrated into their daily work in a controlled and effective way.
Topics Covered
The webinar provides a focused overview of how AI and advanced language models apply specifically to transfer pricing workflows.
Key topics include:
Why AI matters for transfer pricing: The research intensity of TP, driven by complex rules, extensive documentation, benchmarking requirements, and dispute-related analysis.
Time allocation in in-house tax departments: Insights from recent surveys showing how much time TP professionals spend on research compared to other tax areas.
The evolution of search and research in transfer pricing: How TP research has progressed from manual searches to structured databases, benchmarking tools, and AI-supported insight generation.
Data availability and standardization: How AI benefits from increased access to standardized financial, legal, and economic data relevant for TP analysis.
Benchmarking and outlier detection: How AI supports comparable searches, identification of anomalies, and risk-focused analysis.
Risk analysis and research insights: Using AI to surface patterns, summarize findings, and support defensible conclusions in TP documentation.
ChatGPT for transfer pricing professionals: Practical applications of next-generation language models for research, drafting, and analytical support within TP workflows.
The focus throughout is on improving research efficiency while maintaining professional control and judgment.
Who Is This For
This webinar is intended for professionals involved in transfer pricing research, documentation, and analysis:
In-house transfer pricing professionals: Looking to reduce research time and improve analytical capacity.
Transfer pricing advisors and consultants: Supporting clients with complex documentation, benchmarking, and dispute resolution.
Tax technology and data professionals: Exploring AI-enabled research and analysis tools for TP workflows.
Tax managers and team leads: Responsible for improving efficiency and consistency in transfer pricing processes.
Professionals working with BEPS, CbCR, and intangibles: Who face high research and documentation demands.
The session is particularly relevant for those seeking to use AI as a research accelerator rather than a decision-maker.