Tax Technology Webinars

In a rapidly digitizing tax environment, fragmented tools and siloed workflows are no longer sustainable. Many tax functions still operate with disconnected systems for VAT, corporate tax, transfer pricing, and reporting, limiting real-time insight and weakening governance. As digital mandates expand and data volumes increase, this fragmentation turns tax into a reactive compliance exercise rather than a strategic capability. End-to-end tax technology integration offers a different path. By connecting data sources, tax engines, dashboards, and governance structures into a single architecture, tax teams can move from static reporting to real-time control. This shift is about redesigning how tax operates, so that insights reach decision-makers, risks surface earlier, and tax becomes an active contributor at board level.

Digital transformation is reshaping the tax profession at a pace that traditional education and experience alone can no longer keep up with. Data-driven tax mandates, real-time reporting, and the growing use of Gen-AI are pushing tax professionals into roles that intersect with technology, data governance, and organizational change. In this environment, technical tax knowledge remains essential, but it is no longer sufficient. This webinar explores how the skillset of tax professionals must evolve to remain relevant in 2025 and beyond. Moving from siloed expertise to cross-disciplinary collaboration, from execution to project ownership, and from manual analysis to data- and AI-supported decision-making is a structural shift in how tax functions operate.

Generative AI is increasingly embedded in tax workflows, but practical implementation remains a challenge for many tax teams. Fragmented systems, inconsistent data, and unclear governance often prevent AI initiatives from delivering real value. This webinar focuses on real-world use cases and practical tests of generative AI in tax. It explores how AI can be integrated into VAT, transfer pricing, and compliance workflows, how to measure ROI, and how to move from isolated pilots to scalable, controlled AI adoption.

Transfer pricing is one of the most research-intensive areas of tax. Professionals must work with complex international rules, extensive documentation requirements, and large volumes of financial and economic data, while operating under increasing scrutiny from tax authorities. As a result, a significant portion of time is spent on manual research rather than higher-value analysis and judgment. This webinar explores how the next generation of ChatGPT can support transfer pricing professionals by transforming how research is conducted. It examines the evolution of search and benchmarking, the role of AI in identifying insights and risks, and how language models can reduce research effort while preserving professional control in complex transfer pricing work.

Artificial Intelligence (AI) is reshaping tax at a structural level. Large Language Models (LLMs) are changing how tax research, documentation, and analysis are performed, while tax authorities increasingly rely on AI to assess risk and challenge taxpayer data. This creates a new environment where both sides of the tax process operate with AI-enhanced tools. This webinar examines how the first industrial revolution of AI in tax affects daily tax work. It focuses on where AI adds value, where human judgment remains essential, and how data quality and governance determine whether AI-driven tax outcomes can be trusted.

Tax technology is evolving rapidly, driven by advances in artificial intelligence, data analytics, and digital reporting frameworks. Concepts such as machine learning, generative AI, and Tax Administration 3.0 are reshaping how tax law is applied, how compliance is monitored, and how decisions are made by both taxpayers and tax authorities. At the same time, these developments raise fundamental questions around transparency, ethics, data protection, and regulatory control. This webinar provides a structured overview of the latest developments in AI and tax technology. It explores how different AI technologies work, how they are being applied in tax practice and administration, and why governance and human oversight remain essential as tax systems move from static automation toward intelligent, data-driven models.