The global financial services firm invested millions in artificial intelligence to predict customer churn, but results stalled due to incomplete and inconsistent data. The lack of reliable data hindered the effectiveness of AI models, resulting in lost revenue opportunities. Agentic Data Management (ADM) is a new operating model that detects, understands, and resolves data issues in real-time using intelligent AI agents, ensuring trusted, governed, and actionable data at scale. ADM brings autonomy, intelligence, and reliability to go-to-market engines, enabling teams to identify high-impact opportunities, ensure trustworthy data at scale, collaborate smarter, and cut waste. With ADM, revenue leaders can unify data quality, governance, cost control, and AI readiness into one intelligent system, capturing a fair share of the projected $1.2 trillion in global sales by 2030 driven by AI.