The Real Bottleneck in Enterprise AI Comes After the Demo
BigDataWire, Monday, October 5th, 2026
An enterprise AI product leader argues data cleanup and outcome definition, not demos, decide AI success.
Drawing on 15 years of enterprise AI programs, the author says pilots often run on uncleaned data and are measured against undefined outcomes, and that product managers will be judged on decision quality rather than documentation volume.
In a contract-extraction system covering $40B in logistics spend, the model was a small part, with most work going to choosing clause types, resolving disagreements and acting on the data.
Similarly, for CPQ assistants it is catalog rationalization, not the chatbot, that determines production readiness.