Topic

Buyer objections, answered

The objections that stall a deployment, taken seriously: that models hallucinate, and that the data is too messy to automate.

5 August 2026
The objection that the data is too messy, and why it argues for a different method, not against automation
Messy data is real and expensive, and it defeats rules that require clean input. That is exactly why the case for automation rests on a method that reads the data as it is and routes the doubtful cases to a person.
22 July 2026
The hallucination objection, answered
"Models hallucinate" is correct in the abstract and misleading as a blanket disqualifier. The rate depends on the model, the task, and whether the output is grounded in source text and verified, which is what turns it into a measured, managed quantity.