Why AI Fails in Finance (And How to Fix It) скачать в хорошем качестве

Why AI Fails in Finance (And How to Fix It)

Many AI initiatives in finance fail to deliver measurable results. This webinar explains why — and outlines a practical framework for fixing it. Designed for CFOs, Controllers, finance leaders, and IT professionals, this session analyzes common mistakes organizations make when adopting AI in accounting. Topics covered: • Why tool-first AI strategies often fail • The importance of defining clear business problems • How data fragmentation limits AI performance • Taking inventory of manual finance processes • Building measurable AI outcomes • Examples of AI agents supporting accounting workflows Research shows that many corporate AI initiatives fail to generate return on investment. In finance, this is often due to unclear use cases, disconnected systems, and poor data structure. This webinar outlines a problem-first, data-driven approach to AI adoption in accounting. 00:00 Introduction 02:45 The AI Hype vs Reality 06:20 AI ROI Statistics Explained 10:15 Mistake #1: Tool-First Thinking 15:30 Identifying Real Finance Use Cases 21:40 Taking Inventory of Manual Work 28:10 Defining Measurable Outcomes 34:00 Examples of AI Agents in Accounting 41:20 Audience Q&A