Approve loans in minutes—not days—while reducing risk and fraud

AI‑powered underwriting that processes documents, assesses risk and delivers decisions quickly.

Who it’s for

Banks, credit unions and fintech lenders seeking faster approvals, higher accuracy and reduced operational costs.

What it looks like in the field

  • Loan processing time reduced 30–50%; operational costs drop; fraud decreases with anomaly detection.
  • Document processing reduces verification time drastically and improves accuracy; decisions delivered in minutes.

Capabilities

  • Document ingestion and OCR
  • Risk scoring with ML and alternative data
  • Fraud detection
  • Self‑service chat for applicants
  • Pricing suggestions based on risk

How it works

  1. Gather applicant data
  2. Verify documents
  3. Score risk & decide
  4. Notify & onboard

Common integrations

Core banking, credit bureaus, KYC/AML, CRM, email/SMS.

KPIs

Processing time, approval rate, default rate, fraud rate, cost per loan, CSAT.

Security & compliance

Supports KYC/AML and SOC2; on‑prem deployment; models auditable and explainable.

Rollout (4–6 weeks)

Pilot product → integrate data sources → calibrate risk models → expand.

Recommended Utlyze tier & pricing

Workflow Operator
Setup: — —/month

Most lenders

Autonomy Suite
Setup: — —/month

Large institutions, custom models

FAQs

How are bias and fairness addressed?

Models are audited for disparate impact; explainability reports provide transparency to support compliance.

Do we need data‑science expertise?

Utlyze ships with pre‑built models and collaborates with your risk team; bring your own models if preferred.

On‑prem processing; policy and regulatory fit reviewed during onboarding. Results vary by portfolio.

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