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Enterprise AI systems fail not from lack of intelligence but from losing the ability to maintain themselves over time. Hidden renewal mechanisms decline as context drifts, prompts evolve untracked, and data grows stale. The system hits a threshold and fails, producing bad decisions or compliance breaches that appear sudden but were quietly accumulating.
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