MIT looked at 300 public deployments, 52 organizations, and 153 executives, and found the gap was not model quality or regulation. It was approach. Only about 5% of pilots reached production with value anyone could measure. The mistakes behind the other 95% are specific, repeated, and avoidable.
Findings come back as a written root-cause report and a live readout with your engineers. Every row is reproducible, ranked by severity, and paired with the first repair I would make.
Your team can act on it without me. That is the point.
John Licato is a Professor of AI at the University of South Florida and director of the Advancing Machine and Human Reasoning Lab. Over 20 years of professional AI experience and more than 100 peer-reviewed publications, much of it on reasoning over rules, regulations, and legal text. On an engagement he decides which explanations are plausible, which experiments separate them, and what the evidence actually supports.

SquarePact is my agentic AI platform for complex document analysis and Microsoft Word workflows. I do not only advise on AI systems. I design, build, deploy, and operate one, and I carry that experience into every diagnosis.
Explore SquarePact ↗I reproduce the problem, test the likely causes, and deliver a diagnosis with prioritized corrective actions. A professor of AI does the analysis, informed by running a production AI product day to day.
Free 15 minute consultation to see if we're a fit.
