Capable AI models are now broadly available. But what your competitors cannot replicate is the business context only your company can supply and the learning your company retains.
When every fact an AI uses is accurate, yet the decision is still wrong, employing a better model will not fix this kind of failure.
But what the AI cannot see is the context surrounding this sequence of events: The skis arrived damaged, their replacement is delayed, and the quality case remains open. The company’s policies dictate that in such a situation, the boot collection should not receive a discount while the claim is unresolved and the company should prioritize profitable retention.
The company as a whole knows all of this, but those facts were not communicated to the AI at the point of decision, leaving the AI free to make the wrong choice in this instance.
The issue was the context
