The AI Trust Gap: Why AI stalls in production, and what it takes to scale it?

As #AI is no longer answering questions – it is making decisions and taking actions in your day-to-day operations – like #agents. This shift raises the bar from “Is it useful?” to a far more critical question: “Can we trust it?”

Based on research with 850 enterprise leaders across 16 countries and 6 sectors, this study explains why AI succeeds in pilots but fails at scale. This study covered the gaps behind this pattern and the three foundations required to operationalise agentic AI: live data, the right data, and runtime guardrails.

You’ll get a clear diagnostic and a practical path to move from experimentation to real business impact. So, please take a contact to us.

See here a CIO briefing about this study and the “Fail in AI” because of leak of data before running AI agents.
Taken courteously from www.Denodo.com.

See https://vimeo.com/1193620243.

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Summery:
https://www.ai4smb.de/wp-content/uploads/2026/06/Deneno_Trustworthy_AgenticAI.jpg

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