You Don't Need More AI Use Cases—You Need Fewer That Actually Matter.

You Don't Need More AI Use Cases—You Need Fewer That Actually Matter.

Most enterprises don't have an AI shortage—they have too many AI ideas. Every team maintains a list of initiatives to automate, improve, or experiment with, which creates an illusion of progress while actually causing fragmentation.

The Core Problem

When AI initiatives multiply, efforts spread thin across disconnected projects. This prevents patterns from repeating, limits integration, and dilutes overall impact. You get activity. Not capability.

Breadth vs. Depth

Small, isolated use cases generate local improvements but lack scalability. Each solves narrow problems using different approaches, preventing compounding effects that drive real value.

The Solution: Anchor Workflows

High-performing organizations focus on identifying a small number of high-impact workflows rather than pursuing numerous pilots. These anchor workflows should be:

• High-volume
• Decision-heavy
• Operationally critical

Deep redesign of these core processes creates measurable impact and reusable patterns.

Key Recommendations

CTOs should prioritize ruthlessly, focusing on integration and standardization rather than quantity. The strategy requires saying no to many ideas to execute a few successfully—turning fragmentation into focused competitive advantage.

If forced to eliminate 80% of AI initiatives, which would genuinely matter?

That answer is where to start.

Think this argument fits your event? Tell me about the room — the calendar is selective.