Why AI fails and the structural redesign that makes it reliable
The Problem Isn’t the Technology.
Organisations worldwide are investing nearly $4 trillion in AI and digital transformation by 2027 (IDC Worldwide Digital Transformation Spending Guide, 2024). But, it is estimated that 70 percent will fail, because the organisations deploying it were never structurally designed to support it (BCG, “Most Large-Scale Tech Programs Fail — Here’s How to Succeed,” 2024).
“Most AI projects are doomed before the first line of code is written.”
The key insight of our Architecture of Intelligence methodology is that AI failure is a structural problem, instead of a technological problem. Organisations that spend the most on AI transformations are often the least architecturally prepared to benefit from it. In this whitepaper, we present our Sygnos Framework as a closed-loop architecture built on top of three pillars: Sense, Think, and Act.
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