Adopting AI: the 'unsexy' rules for success hidden behind sexy technology

The article argues that effective AI adoption starts with documenting and standardizing work, not with jumping straight to autonomous agents.

Company examples show that tacit know-how, information silos, and fragmented data can block AI before the model itself becomes useful.

AI maturity is presented as a layered process built on dependencies, with different departments naturally advancing at different speeds.

The key to real-world AI impact is reorganizing processes, data, and decision rights so machines can actually understand the work.