Agentic AI won’t wait for your data. Learn how to make it ready now.
Gartner® insights show how to deliver right-time, trustworthy, well-governed data for AI agents—so they act accurately, safely, and at scale. Learn what to fix first and how to operationalize it.
Why this report matters
- Agentic AI is accelerating. By 2028, a growing share of applications and daily decisions will be autonomous,raising the bar on data freshness, context, and governance.
- Most teams underestimate the data lift. Failures stem from latency, fragmentation, weak metadata/lineage, and insufficient controls, not model choice.
- You need a repeatable checklist. Gartner provides step-by-step readiness across delivery SLAs, unified access, active metadata, and automated governance per use case.
What you’ll learn
- How to run use-case-specific data readiness checks for every agent (not one-size-fits-all).
- How to define right-time data SLAs (latency, frequency, freshness) that match each agent’s autonomy and risk.
- How to build unified, secure accessibility (APIs/fabric/virtualization) with semantic consistency and lineage.
- How to implement continuous, automated governance—guardrails, quality checks, monitoring, and audit.
Gartner, Use This Checklist to Ensure Your Data Is Ready for the Agentic AI Era, Deepak Seth and Roxane Edjlali, 20 August 2025.
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