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Every board's agenda now carries the same question: what does AI actually change for us? And how do we capture the value without breaking the organization in the process?
Pilots multiply, vendors promise the world, and some functions race ahead while others wait. For most organizations the bottleneck is not model quality or tooling. It is the absence of an architecture that ties AI back to the business.
Typical topics to be discusses
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Gartner expects more than 40% of agentic AI projects to be abandoned by 2027 for reasons that have almost nothing to do with technology: escalating cost, inadequate risk controls, unclear value, missing governance. Roughly 80% of AI's value comes from workflow redesign, governance and organizational change and not from the model itself. The scarce skill is no longer prompting. It is architecting.