Everyone has an opinion about AI in banking. Most of them are… theoretical.
This is not a hype piece. This is not a trend forecast. And this is definitely not a "let’s sprinkle AI everywhere" manifesto.
This is a founder-level business case written from the perspective of someone who has lived inside regulated systems, zero-downtime environments, and risk-averse enterprises, and still shipped.
If I were accountable for AI transformation at a Tier-1 bank: balance sheet, reputation, regulators, and all: here’s exactly how I’d do it.
Not to sound smart.
But to make it work.
Why most AI strategies die quietly
Banks don’t fail at AI because of bad models.
They fail because no one answers three uncomfortable questions early enough:
Stakeholders who actually decide your fate
Before choosing tools or vendors, I’d map decision power.
Primary stakeholders: