AI must earn the right to decide.
Statistical accuracy is not operational permission.
Most organizations know how to build capable AI pilots. Very few know when an AI system has earned the right to make consequential decisions. Decision Quality AI establishes the non-compensatory boardroom standard for moving AI safely from experiment to production.
Published Worldwide by Kogan Page (London · New York)
Originating from high-consequence enterprise, sovereign, and global advisory environments.
Three fault lines where AI authority collapses.
Accuracy ≠ Legal Standing
A model can score 95% on test data and still violate statutory law, data provenance rules, or the EU AI Act. Lab performance does not grant legal permission.
Capability ≠ Operational Safety
Without a tested deterministic fallback, sudden live data drift will cause catastrophic downtime. Working AI is not production AI.
Principles ≠ Audit Defense
Publishing high-level ethics charters is not governance. A control that cannot halt runtime execution or assign legal responsibility is an illusion.
“A 99% accuracy score in the lab cannot compensate for a missing emergency brake in production.”
Three ways to put the discipline to work.
Start with the book, implement with the operating platform, or engage executive advisory.
The Book
Published worldwide by Kogan Page. 15 chapters detailing mathematical calibrations, failure modes, and non-compensatory gates.
Professional Platform
The active release workspace. Downloadable Word/Excel AI Release Cases, living EU AI Act standards, and monthly defense clinics.
Executive Advisory
For corporate boards, Chief Risk Officers, and sovereign entities scaling decision-grade governance across multi-system portfolios.
Dr. Eva-Marie Muller-Stuler
Mathematician (Ph.D.), former Chief Technology Officer for AI at IBM MEA, and former Partner & Data/AI Practice Leader at EY. Originator of Decision Quality AI.
Why Working AI is Not Production AI
A high-performing model in testing is not an operational decision asset. How false confidence compounds before release.
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Fortnightly intelligence on what evidence is required to justify machine decision authority.