Enterprise AI maturity in five steps: a practical ops playbook

May 15, 2024

19 min read

Operations

Enterprise AI maturity in five steps: a practical ops playbook

Key Takeaways

1Start with operational truth—baseline metrics on volume, cycle time, rework, and escalation in current workflows
2Design control architecture tied to risk tiers before scaling, not after first incidents expose gaps
3Build repeatable delivery mechanics so each subsequent lane reuses prior assets and patterns
4Measure operational behavior (override frequency, exception age, escalation rate) not just model accuracy

[Full article body from lines 60-116 - covering five AI maturity steps, measurement strategies, quarterly rebalancing, and executive templates] ---BODY_END--- ===ARTICLE_END===

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