As accounting firms race to adopt AI, many are discovering a hidden obstacle: unreliable, ungoverned data. Without a strong data foundation, AI can produce inaccurate insights and compliance risks instead of efficiency and growth. In fact, Gartner reports that 60% of AI projects are abandoned due to poor data quality.
 

This resource, “Building an AI-Ready Data Foundation for Finance,” outlines how accounting and finance leaders can prepare their data for successful, compliant AI adoption.

Inside, you’ll learn:
•    Why 80% of AI project time is spent cleaning and organizing data
•    How fragmented systems lead to unreliable AI-driven insights
•    The three pillars of AI-ready data every accounting firm needs
 

Stay ahead of client expectations and regulatory demands.
 

Download the resource today to learn how to build a reliable data foundation that drives trustworthy, efficient, and scalable AI in accounting.