TDWI releases benchmark report on agentic AI readiness

By AI, Created 9:38 PM UTC, May 15, 2026, /AGP/ – TDWI Research has published a new benchmark report on how prepared organizations are for agentic AI, finding that many overestimate readiness while still lacking core data, governance, and skills foundations. The report offers a five-dimension assessment framework and includes recommendations for closing gaps before companies try to scale agentic systems.

Why it matters: - Agentic AI could change how organizations automate work and shorten cycle times. - The report says success depends on aligned data, governance, skills, and operational capabilities, not just the ability to build or test agents. - Many organizations are not yet prepared to run agentic AI at scale.

What happened: - TDWI Research released The State of Agentic AI Readiness Benchmark. - Fern Halper, Ph.D., vice president of TDWI research, wrote the report. - The report examines readiness across five dimensions using assessment data and expert interviews. - TDWI says the research is designed to help organizations assess and improve their own readiness.

The details: - Halper says organizations are making meaningful progress but are not fully prepared to operationalize agentic AI at scale. - The report finds that organizations tend to overestimate their readiness and underestimate what agentic AI requires. - More than one-third of respondents say they have formally accountable teams for the life cycle of AI systems. - Another 21% say they have dedicated teams supporting specific systems or platforms. - Only 27% say their target processes are comprehensively documented and understood. - Technology and engineering readiness ranks as one of the stronger areas. - Many organizations report modern cloud environments and early architectural thinking. - The report says organizations often confuse experimentation with readiness. - Agentic systems operate under conditions that differ from traditional analytics or generative AI. - The report was sponsored by Precisely, Snowflake, and ZoomInfo. - The report and webinar are available online: Download the report and Watch the webinar.

Between the lines: - The report frames agentic AI readiness as an organizational discipline, not a pure technology problem. - Strong technical infrastructure appears to be ahead of data governance, process documentation, and workforce readiness. - That gap suggests many companies may be able to pilot agents before they can safely scale them.

What’s next: - TDWI says organizations need to keep strengthening data, governance, and skills to capture the benefits of agentic AI. - Companies using the benchmark can compare their maturity across the five readiness dimensions. - The webinar and report give teams a way to gauge whether they are ahead of or behind peers.

The bottom line: - Agentic AI readiness is still uneven, and the biggest risks now sit in foundations, not models.