AI doesn’t fail in enterprises because the technology isn’t ready. It slows down because the organization hasn’t built the conditions to absorb it at scale.

Think of it like installing a high-performance engine into a car with wiring that has evolved through years of incremental fixes. The engine is powerful, but the surrounding system isn’t built to deliver its full potential. Progress occurs, but not as quickly or efficiently as expected.