Meet the Speakers

Key Takeaways What you need to know
  1. 54% of organizations have migrated to SAP S/4HANA, positioning themselves for AI-driven transformation.

  2. 69% use AI in finance; those in production report faster cycle times and less manual effort.

  3. 47% of organizations prioritize automating the financial close, yet 42% still take over 8 days to close their books.

As regulatory complexity, cyber risk, and economic volatility converge, the Office of the SAP CFO is being pushed beyond stewardship into a new role as strategic co‑pilot of the enterprise. At the same time, most SAP-centric finance organizations remain stuck at an “established but not optimized” maturity plateau, constrained by fragmented data, manual close processes, and slow, spreadsheet-driven reporting that limit the impact of AI and automation.

In this research-driven session, SAPinsider unpacks findings from the 2025 benchmark study of 110 SAP-centric organizations to show how leading finance teams are modernizing the core, automating the close, and building an AI-ready data foundation on SAP S/4HANA. You will see how “optimized” organizations are using solutions such as SAP S/4HANA Finance, SAP S/4HANA for Advanced Financial Closing, SAP Business Warehouse, and complementary close automation tools to move toward a continuous close, cut cycle times from week-long marathons to as little as 1–3 days, and free scarce finance talent for higher-value analysis and business partnership.

Watch this webinar to learn how to:

– Identify where your finance organization sits on the SAPinsider maturity curve and what separates “established” from “optimized” finance teams in SAP environments.
– Use your SAP S/4HANA journey to consolidate financial activities, standardize data with Universal Journal, and lay the foundation for AI-enabled forecasting and anomaly detection.
– Accelerate the shift from efficiency to automation in the financial close, including practical steps toward a continuous close powered by orchestration and close automation tools.
– Overcome the top barriers to AI adoption in finance—organizational complexity, security and privacy concerns, and competing priorities—through focused pilots, governance, and change management.