New Study: The Agentic AI Gap
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New study reveals: Why 86% believe in Agentic AI but only 11% execute
See how leading DACH enterprises approach Agentic AI – and where execution breaks down. Get early access to the study plus a free 90-day action plan.
Agentic AI doesn’t fail
because of technology.
It stalls when organizations haven’t aligned on the fundamentals.
Most initiatives slow down or stop not because models lack capability – but because leaders haven’t agreed on:
Who owns outcomes when systems act autonomously?
How governance evolves beyond human-only decision-making?
Where responsibility sits when AI shifts from tool to active operator?
What are we exploring in the study?
This study looks at why belief in Agentic AI so rarely translates into execution – and what actually gets in the way when companies try to scale.
We decided to explore:
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Where leadership alignment breaks down first as AI systems move from support tools to autonomous actors
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Why budget is often blamed, even though it is rarely the real blocker
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Which organizational decisions slow progress long before technology becomes a constraint
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What separates the few companies that scale Agentic AI successfully from the many that remain stuck
To help you act on these insights, we’ve also created a practical 90-Day Plan – a step-by-step framework to move Agentic AI into production, not just pilots.