Tax Technology Webinars

AI agents are rapidly moving from experimentation to practical application, yet many tax professionals still struggle to distinguish true agentic AI from traditional automation or chat-based tools. This webinar provides a practical framework for understanding what AI agents are, where they can create value across tax functions, and how to evaluate, build, or buy the right solution. Covering everything from vendor assessment and process selection to deployment and ROI, the session equips tax leaders with the knowledge to adopt AI agents confidently and strategically in an increasingly complex compliance environment.

As we transition to the "Trust and Check" model, traditional "on paper" procedures have become obsolete, replaced by a digital mandate for total transparency. This shift is already visible in the January 2026 dissolution of simplified gateways like Regime 42 in France and the introduction of new small-scale handling fees, both of which signal the end of fragmented, reactive compliance. In this high-stakes era, real-time data flows are no longer siloed; they are actively integrated into four critical tax reportings: customs, VAT, transfer pricing, and DAC7. To thrive amidst these changes, organizations must adopt a unified operational management system that treats tax optimization as a core strategic pillar, ensuring that every data point is synchronized across the entire global tax landscape. By reframing customs as an operational management system rather than a reactive administrative task, the session provides a roadmap for navigating the convergence of customs, VAT, CBAM, and sanctions through integrated data flows.

This webinar is the first of a series related to the Data Stream Group. It addresses the critical challenge facing multinational tax teams: spending 60-70% of their capacity gathering, cleaning, and reconciling fragmented data. Introducing a "one river, many destinations" model, the session demonstrates how a single canonical data-management layer can feed every tax engine and downstream destination (including DAC7, ESG, and Public CbCR). By reframing data management from a compliance burden into a strategic asset, this session shows tax functions how to own their data stream, deliver real-time business intelligence, and act as a true copilot to the boardroom.

Tax digital transformation often fails not because of technology, but because knowledge remains fragmented, individual, and implicit. As tax workflows become more digital, real-time, and AI-assisted, small misalignments in interpretation, data, or process scale quickly into consistency, defensibility, and governance risks. This webinar explores Human-to-Human stacks as the missing infrastructure for modern tax organizations. It shows how continuous peer exchange, local responsibility, and shared judgment reduce risk, strengthen control, and make digital tax transformation sustainable. Rather than treating collaboration as a soft concept, the session reframes it as a core risk-management and quality-control mechanism in a digital tax world.

In the race to automate Tax and Finance, we often overlook the most critical component of the tech stack: the people operating it. While AI can process data at scale, it cannot provide the judgment, focus, or leadership required to navigate increasingly complex global regulations. Traditional "command and control" leadership is no longer a viable safeguard against the risks of a digital-first world. This session reframes New Work and Human-Centric Leadership as essential risk-management tools. Led by Anita Richter (Head of Indirect Tax, Springer Nature), we explore why subject-matter expertise is no longer the sole ceiling for success. By shifting from control to enablement and fostering learning agility, tax leaders can transform their departments from reactive cost centers into resilient, AI-empowered hubs of innovation. This session is about building the cognitive and cultural infrastructure necessary to ensure compliance excellence in the age of automation.

AI is rapidly moving from experimentation to real deployment in tax workflows such as risk assessment, document drafting, and data classification. At the same time, tax authorities are already using AI at scale, and regulators are raising expectations for transparency, auditability, and human accountability. This creates a trust gap: AI can accelerate tax work, but tax outcomes must remain explainable and defensible. This webinar introduces a practical AI Accountability Framework for Tax built around three principles: systems that reason with tax logic, record every step for auditability, and reassure stakeholders through transparency and governance. It explores how AI can be embedded into tax workflows without becoming a black box, ensuring that professional judgment, control, and responsibility remain central as tax functions adopt AI.