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AI operational readiness means making sure that your AI systems aren't just smart in theory but actually work reliably in the real world. It's about ensuring models are continuously monitored for drift, that they scale without breaking, and that the teams managing them have clear protocols for updates and rollbacks. Without this readiness, even the best AI can become a liability when it encounters unexpected data or shifts in user behavior.