Most organizations are “doing AI.”
Very few have become AI-native.

This is where maturity matters.
Because your competitive advantage depends on where your company truly sits in the AI maturity curve,not how many pilots you have launched.

Stage 1: Experimentation

A few isolated pilots, mostly run by innovation teams or external partners.

• No standardized governance
• No shared data layer
• No P&L impact yet

This is where most insurers and fintechs got stuck between 2019–2022.

Stage 2: Adoption

AI starts entering specific business processes: underwriting, claims, fraud, onboarding.

• Clear business owners
• KPIs defined
• Formal data governance begins

This is often the stage where AI starts paying for itself.

Stage 3: Institutionalization

AI becomes embedded in decision-making, culture, and operations.

• AI literacy across the org
• AI incorporated into budgeting cycles
• AI roadmap tied to product + risk strategy

This is where strategic advantage becomes defensible.

Where do you want your org to be?

If you’re a CXO or transformation lead, this is your mission:

Move your company from “AI as an initiative” → to “AI as the operating model.”

The maturity model isn’t about technology maturity.
It’s about organizational identity.

Tomorrow – Day 37:
What leaders must watch in the evolving AI regulatory landscape is especially in finance & insurance.