Denodo Trustworthy Agentic AI Requires Live Data, Trusted Context, and Guardrails.

AI is becoming agentic, capable of not only answering prompts but also performing the next action. However, not all organizations have been able to turn agentic AI projects into successful business outcomes. Successful agentic AI initiatives require access to live data, comprehensive business context, and compliance with governance and business-SLA guardrails. Together, these requirements create the Active Context agents need to operate reliably in enterprise workflows. This paper summarizes findings conducted for us by Arlington Research to shed light on these and other requirements, that warrant a fundamental rethink in enterprise data management strategies and architecture in order to ensure agentic AI success.