ai strategy now fails at integration not intelligence

As model quality converges, the main differentiator in enterprise outcomes is integration quality across identity, data contracts, and workflow controls (Thoughtworks technology radar).

see also: ops clarity beats model novelty in sustained adoption · model choice matters less than boundary design

where plans break

Roadmaps over-index on model selection and under-invest in cross-system reliability and ownership clarity.

compounding effect

• Integration debt creates hidden cost and incident drag.
• Model upgrades fail to deliver expected value in brittle stacks.
• Teams with cleaner interfaces capture gains faster.

my take

Intelligence is increasingly available; integration discipline is still scarce.

linkage

• [[ops clarity beats model novelty in sustained adoption]]
• [[model choice matters less than boundary design]]
• [[enterprise budgets shift from model access to data contracts]]

ending questions

which integration boundary most often determines whether ai strategy succeeds at scale?