Three rules I now follow for every enterprise AI deployment, learned the painful way

Distilled from enough deployments to feel like rules now.

Rule 1: Never deploy without an audit trail. Even when nobody asks for it on day one, someone will demand it on day 90.

Rule 2: Never lock into a single model. Pricing, capability, and policy from any one vendor will shift within 12 months. Plan for portability.

Rule 3: Never skip the change management work. Half the deployments that fail technically actually fail because the humans using the agent weren't trained, weren't bought in, or weren't trusted to oversee it.

What's a rule you now follow because something went wrong once?

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