{"id":4983,"date":"2026-01-14T23:45:13","date_gmt":"2026-01-14T22:45:13","guid":{"rendered":"https:\/\/michael-hoepfl.com\/netzwelt\/agentic-ai-only-works-where-processes-are-clear-enough\/01-2026\/"},"modified":"2026-08-11T14:48:39","modified_gmt":"2026-08-11T12:48:39","slug":"agentic-ai-only-works-where-processes-are-clear-enough","status":"publish","type":"post","link":"https:\/\/michael-hoepfl.com\/en\/technology\/agentic-ai-only-works-where-processes-are-clear-enough\/01-2026\/","title":{"rendered":"Agentic AI Only Works Where Processes Are Clear Enough"},"content":{"rendered":"\n

In many discussions about Agentic AI, a surprising amount of attention is focused on the wrong question:
How intelligent is AI \u2013 and when will it be able to replace humans?<\/strong><\/em><\/p>\n\n\n\n

This perspective falls short. Not only because it creates expectations that are unrealistic both technically and organisationally, but above all because it distracts from the real lever. The decisive factor for autonomous systems is not the intelligence of the AI, but the clarity of the processes in which it is used.<\/p>\n\n\n\n

This perspective is not a provocative counterargument; it can be derived both from practical experience and from strategic research.<\/p>\n\n\n\n

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Where Autonomy Is Realistic Today \u2013 and Why<\/h2>\n\n\n\n

A recent article in manager magazin<\/em> argues in precisely this direction: the decisive question is not whether AI could theoretically perform a task \u201cas well as a human\u201d, but what the cost of an error would be and what knowledge is required for the task. Source: The AI Playbook for Companies (Harvard Business manager 1\/2026)<\/a><\/p>\n\n\n\n

On this basis, a simple but effective distinction can be made:<\/h3>\n\n\n\t\t\n\t\t