When AI activity starts spreading across an organization, the first challenge is rarely technical.

It is prioritization.

Different teams see different opportunities. New tools appear quickly. Pilots get launched with good intentions. Before long, leadership faces a crowded field of ideas without a clear way to decide what deserves enterprise attention.

This creates familiar problems:

• strong ideas compete with low-value distractions
• urgency replaces discipline
• business units optimize locally, not strategically
• governance enters too late
• leadership loses visibility into where effort is going

The fix is not to shut momentum down.
The fix is to create a repeatable way to evaluate what moves forward.

That usually means defining:

• intake criteria
• business value thresholds
• ownership requirements
• decision rights
• stage gates for review

This is one of the core functions of an effective AI Center of Excellence.

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