.jpeg)
Overview
This article exposes the central fallacy of AI use in organizations: the belief that better prompts solve decision problems. The truth is that prompts are linguistic tools, not governance structures. While they adjust tone and content, they do not define responsibility, criteria, or decision-cycle closure — and it is precisely here that risk accumulates.
⚠️ Prompts Adjust Tone, Not Responsibility
A prompt can guide style and format, but it doesn’t define who responds, when to escalate, or when to stop. Treating structural problems as linguistic ones leads to accumulated complexity, not consistent decision-making.
🧠 More Context ≠ Better Criteria
Adding context widens the response surface but does not establish priority, impact, or accountability. The system continues to improvise—only with more material—and plausible responses can be contradictory.
🧭 Decision Is Closing, Not Just Choosing
AI can generate infinite plausible variations, but decision-making means closing alternatives. Without an explicit closure mechanism, the system keeps decisions open, amplifying uncertainty instead of reducing it.