AI-Native Credit Infrastructure

The entire credit
operations team.
Replaced.

Prelim runs underwriting, merchant onboarding, fraud detection, and collections with AI agents. No analysts. No call centers. No legacy.

0 Human underwriters
<200ms Decision latency
24/7 Autonomous ops

Credit operations hasn't changed
since 2008.

01

Underwriting teams

Dozens of analysts running static models. Decisions take hours or days. Alternative data goes unused.

02

Manual merchant onboarding

Weeks of integration work per merchant. Custom builds, compliance reviews, endless back-and-forth.

03

Rules-based fraud

Rigid rules that miss novel patterns and flag legitimate transactions. Tuned by hand, months behind.

04

Collections call centers

Hundreds of agents making calls. Low recovery rates, high overhead, terrible customer experience.

Four agents. Zero employees.

Agent 01

Underwriter

Reads transaction history, behavioral signals, and open banking data. Makes credit decisions in under 200ms. Learns from every outcome. Explains every decision.

Agent 02

Merchant Onboarder

Handles KYC, compliance checks, and integration setup autonomously. Takes a merchant from signup to live in hours, not weeks.

Agent 03

Fraud Sentinel

Monitors every transaction in real-time. Detects novel fraud patterns without static rules. Adapts continuously as attack vectors shift.

Agent 04

Collections Agent

Personalized, respectful outreach across channels. Negotiates payment plans autonomously. Higher recovery rates without a single phone call.

Bill Me Later needed
hundreds of people
to run credit at scale.

That was 2008. This is 2026. The infrastructure that powered a billion-dollar acquisition can now run on four AI agents. Same domain expertise. Zero operational overhead.

Prelim is building the credit operations layer that every fintech will run on.