Arrested Automation: Why Agentic AI Stalls at the Enterprise Level

Investment in agentic AI is accelerating, but many organizations are still struggling to turn experimentation into measurable business results. Based on a global survey of 1,000 senior technology and data leaders, this report explores what prevents AI from progressing beyond individual productivity tools to enterprise-wide operations. It examines the relationship between fragmented business context, infrastructure readiness, and the gap between generating insights and executing actions. Technology and data leaders will find an Agentic AI Maturity Index, industry and regional comparisons, and practical guidance for preparing enterprise data with the meaning, lineage, and governance agents need to act reliably across business functions.

Key takeaways:

• Understand why 63% of surveyed leaders report only minimal positive returns or no positive return from agentic AI investments.
• Use the four-stage maturity index to identify barriers between experimentation and operational deployment.
• Explore a three-phase approach to contextualizing high-value data, embedding governance, and preserving architectural flexibility.

Download the report to explore what it takes to move agentic AI from isolated pilots into enterprise operations.

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