Banu Munnangi | SVP Credit Reinsurance AI

The Reinsurance Tower · Meets · Machine Intelligence

All layers placed · Structure the uncertainty. Probability of ruin: 0.3%

Foundation

Chirala → NIT Warangal · Civil Engg.

⟷

The Engineer

Load-bearing structures. Always.

Before the data. Before the risk. There was an engineer from Chirala.

Hover a layer · Then pick your coverage below ↓

Welcome to the tower

Pick your coverage.

Choose the lens. The facts don't change — only how they're rendered.

Quota Share · Layer I

Friends &
Family

Understand him

› Scanning for known connections...

✓ Warmth levels: confirmed high

✓ Himalayas · Alps · South India: done

→ He built all this. Pretty cool, right?

Enter →

No ML required to enjoy this floor.

Excess of Loss · Layer II

The
Professional

Work with him

› Detecting domain knowledge...

✓ Credit · Surety · Re · GenAI: deep

~ MIT · Palantir · Davos · 4 stages

→ Bring your IDE. It gets nerdy.

Enter →

Retention: unlimited. Coverage: everything.

Stop Loss · Layer III

The
Recruiter

Assess him

› Scanning market for comparable...

✓ Credit+Surety+GenAI+Re+Placement: 1

! Automation deployed. Ops impact: measurable.

→ Model says: Hire. Delay = regret.

Enter →

Your search just hit its stop loss.