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White Paper

The Operational AI-Readiness Layer: How Organizations Can Ensure Integrity in Their Data Foundations

AI readiness depends on the quality and integrity of the data behind it. As AI investment accelerates, many organizations still face gaps in data quality, governance, integration, and automation. These gaps can make it harder to turn AI investment into measurable results.

Download The Operational AI-Readiness Layer: How Organizations Can Ensure Integrity in Their Data Foundations to explore how stronger data foundations can support AI initiatives and SAP S/4HANA migration.

Research from Precisely and Drexel University highlights a readiness paradox. While 88% of data leaders report having the data readiness needed for AI, 43% also identify it as a barrier to their AI initiatives. Governance can make a meaningful difference. Seventy-one percent of organizations with formal data governance programs report high trust in their data, compared with 50% without one.

These challenges become even more important during SAP S/4HANA migration. Data quality issues can contribute to project delays and budget pressure. The report explores why migration provides an opportunity to improve how enterprise data is created, governed, and managed.

At the center of the report is the Operational AI-Readiness Layer. It combines automation, data quality management, process governance, and data integration. Together, these capabilities help ensure that AI systems receive accurate, usable data in the right context. This foundation becomes even more important as organizations move from AI experimentation toward agentic AI and automation.

What you’ll learn about AI readiness

  • Why AI ambition can outpace an organization’s underlying data foundation
  • How governance can strengthen data trust
  • How data quality affects SAP S/4HANA migration
  • Why governed data matters as organizations adopt agentic AI
  • How Pactiv improved its product creation process with governed master data and Precisely Automate Evolve

Download the report to learn how SAP S/4HANA migration can become an opportunity to strengthen data integrity and build a trusted foundation for AI and automation.