THE FINTECH INTERVIEW
“ Rather than deploying AI for its own sake, leading organisations identify where intelligence can remove friction, automate routine decisions, and enable employees to focus on higher-value work.”
That disciplined approach, he argues, is what transforms AI from experimentation into enterprise capability.
Three foundations for enterprise-wide production Moving AI from isolated pilots into secure, enterprise-wide production at scale requires three foundational capabilities, Chad outlines.
First, institutions need trusted, governed data that can be securely accessed across fraud prevention,
AML, payments, compliance and customer engagement, as Chad emphasises.“ AI is only as effective as the quality, accessibility and governance of the data that supports it.”
Second, AI must be integrated directly into core workflows rather than tacked on as an afterthought. Explainability, auditability, model governance and regulatory controls should be built into every operational process so institutions can safely scale AI while adhering to shifting compliance standards.
Finally, it is imperative that organisations invest in people as much as technology.
Chad adds:“ Successful transformation requires executive sponsorship, workforce training and operational
30 October 2026