Why prompt debt, retrieval debt, and evaluation debt are quietly reshaping enterprise AI risk

TL;DR AI
2 min readKey summary
Enterprise AI is accumulating new forms of debt beyond code, including prompt, model dependency, retrieval, and evaluation debt.
These risks are harder to detect and repair because AI behavior is probabilistic, external models change, and enterprise data is often stale or messy.
The article says weak testing and limited continuous monitoring are leaving many AI systems exposed in production.
Recent studies on failed AI projects suggest these hidden issues are driving poor outcomes and raising enterprise risk.
