The biggest enterprise AI trap is treating it as an isolated project rather than organizational evolution. Pilot success does not equal repeatable value.
Start with high-impact, low-risk use cases like internal knowledge assistants, marketing automation, and report generation to surface ROI quickly.
In the mid-stage, establish cross-functional ownership with shared KPIs across business, data, and AI product stakeholders.
At scale, institutionalize standards: model policies, access controls, quality checks, and internal capability training.