ENG26SS301. The Future of Tax Workflow: Scaling AI Strategies for Success, presented by Thomson Reuters

Advances in AI are creating real opportunities for tax, audit and accounting firms to work smarter, serve clients better, and unlock new value — from automating time-consuming tasks to elevating professionals into higher-value advisory roles. In a field where accuracy, accountability, and trust are non-negotiable, understanding the difference between fiduciary-grade AI and general-purpose AI is essential for high-stakes tax work. Through real-world data, industry benchmarks, and a practical adoption framework explored in this session, participants will leave equipped to assess their firm's current AI maturity and take deliberate steps toward a scalable AI strategy.

Learning Objectives:

• Identify AI's real-world applications across tax workflows — including research, return preparation, and advisory services — and evaluate their impact on firm efficiency and resource allocation.
• Evaluate the differences between fiduciary-grade AI and general-purpose AI and assess why fiduciary-grade AI is necessary for high-stakes tax work.
• Apply a structured framework to assess firm's current stage of AI adoption and outline deliberate steps toward a scalable, ROI-driven AI strategy.