Why Attend
Artificial Intelligence is no longer an experimental add-on in tax. Over the past two years, the rise of Large Language Models (LLMs) has fundamentally changed how tax research, documentation, compliance, and advisory work are performed. What began as productivity support is rapidly evolving into a structural shift in how tax knowledge is created, validated, and applied.
At the same time, tax authorities are adopting AI themselves. They increasingly use advanced analytics, pattern recognition, and machine learning to challenge taxpayer data, assess risk, and detect inconsistencies at scale. This creates a new reality in which both taxpayers and authorities operate in AI-enhanced environments, raising important questions about data quality, explainability, governance, and trust.
This webinar examines what this first industrial revolution of AI in tax actually means in practice. It goes beyond generic discussions of automation and focuses on how AI and LLMs reshape tax workflows, from research and documentation to risk assessment and decision-making.
By attending, participants will gain clarity on:
How AI is transforming tax strategy, planning, and compliance
Where AI adds real value and where human judgment remains essential
How data quality and structure determine the reliability of AI outputs
How to prepare for increased scrutiny in AI-enabled tax administrations
The session is designed to help tax professionals understand not only how to use AI tools, but how to remain in control in an environment where algorithms increasingly influence tax outcomes.
Topics Covered
This webinar provides a structured exploration of AI in tax, combining conceptual framing with practical use cases.
Key topics include:
The evolving role of AI and Large Language Models in tax: How LLMs improve research, reporting, and analysis, and why this represents a structural shift rather than incremental automation.
AI in tax strategy and planning: How predictive analytics and AI-supported models enhance tax planning, reporting efficiency, and strategic decision-making.
AI in tax research and legal analysis: How AI can process thousands of cases, identify patterns, summarize legislation, and support legal interpretation, while understanding the limits of non-reasoning models.
Data quality and validation for AI-driven tax workflows: Why AI output is only as reliable as the underlying data, and how structured, validated data becomes a critical control point.
How tax authorities use AI: An overview of how authorities apply AI to challenge taxpayer data, identify anomalies, and assess compliance risk across jurisdictions.
Ethical, legal, and governance considerations: The risks associated with AI-generated tax guidance, including explainability, accountability, and compliance boundaries.
Future trends in AI and taxation: What tax professionals should prepare for next, including prompting skills, process mining, and the balance between coding and low-code solutions.
Participants will leave with a clearer understanding of how AI reshapes tax work today and what capabilities will matter most going forward.
Who Is This For
This webinar is relevant for tax professionals who want to understand and responsibly apply AI in their work:
Tax professionals and specialists: Seeking to use AI for research, documentation, and analysis without losing technical control.
Tax managers and team leads: Responsible for integrating AI into workflows while maintaining governance and quality standards.
Tax technology and transformation roles: Involved in designing AI-enabled processes, data architectures, or tool selection.
Advisors and consultants: Supporting organizations in adopting AI for tax planning, compliance, and controversy.
Professionals interacting with tax authorities: Who need to understand how AI is used on both sides of the compliance equation.
The session is particularly valuable for those who recognize that AI is not replacing tax expertise, but redefining how that expertise is applied and defended.