Blits.ai
Meet Blits.ai at AI Everything GlobalOctober 6 to 7, 2026 · Abu Dhabi, UAE · Stand H3-P009-P010
Book a 1:1 →

Business function

AI use cases for underwriting

Assessing and pricing risk before a policy or facility is written.

Use cases
7
Deployments
40
Organizations
40
Outcome disclosed
58%

7 Underwriting use cases

40 organizations in 14 countries run these use cases in public. 58% of those 40 deployments disclose a measurable outcome.

Banking

AI agent for corporate credit analysis and credit memo drafting

AI credit underwriting and memo drafting is an AI agent that drafts a committee ready credit memo for a corporate borrower, for the relationship and credit teams to review. It gathers the borrower's documents and data, spreads the financials into the bank's template, calculates ratios and covenant headroom, pulls bureau and news information, and links every figure to its source for the team to challenge, complete and sign.

Deployments
6 public, best grade B
Reported cycle time reduction
96%
Kuwait Finance House, vendor claim
Banking

AI cash flow underwriting for small business loans

SME cash flow underwriting is an underwriting engine that assesses a small business's repayment capacity from live bank transactions and payment flows, instead of audited accounts, for lenders. It also draws on point of sale data, receivables and accounting data, and returns a decision recommendation with the evidence and reasons behind it.

Deployments
7 public, best grade B
Autonomy
Supervised agent
Insurance

AI copilot for underwriting risk assessment

An underwriting risk assessment copilot is an AI tool that assembles everything relevant to a risk, such as the submission, loss history and underwriting guidelines, for an insurance underwriter. It also gathers third party data and public information, highlights exposures and gaps against the insurer's underwriting guidelines, and drafts the underwriting narrative or referral note, while the underwriter makes and signs every decision.

Deployments
8 public, best grade B
Reported cycle time reduction
50%
Generali Global Corporate & Commercial, vendor claim
BankingPayments and cards

AI credit scoring with alternative data for thin file applicants

Alternative data credit scoring is a machine learning model that adds consumer permissioned data to credit bureau data, so a lender can assess applicants with thin or no credit files. The alternative data includes bank account cash flow, rent, utility and telco payments or ecosystem data, and the model returns a decision with specific reasons.

Deployments
8 public, best grade B
Reported automation rate
at least 90%
Upstart Holdings, organization claim
Insurance

AI for commercial underwriting submission intake and triage

AI that reads incoming broker submissions for commercial insurance so underwriters open a complete, prioritized file instead of an inbox. It reads emails, applications, schedules of values, loss runs and supplements, extracts the risk data into a structured record, checks clearance and appetite, and enriches and ranks the risk with internal and third party data.

Deployments
9 public, best grade B
Reported accuracy
about 98%
Paragon Insurance Group, organization claim
Insurance

AI for insurance renewal processing and customer retention

Renewal and retention AI prepares and runs the insurance renewal cycle, digitizing renewal submissions and changes in risk for underwriters and flagging policies at risk of lapsing or leaving. It also prepares the renewal conversation and answers customers' renewal questions, while renewal prices stay governed by the insurer's pricing rules and fair value obligations.

Deployments
3 public, best grade B
Autonomy
Copilot
Insurance

AI summarization of medical evidence for life and health underwriting

AI medical evidence summarization reads the medical records behind a life or health insurance application and turns them into a structured, cited summary for the underwriter. The records include attending physician statements, electronic health records, lab results and disclosures, and the summary covers conditions, treatments and dates, mapped to the insurer's underwriting manual so the underwriter can decide faster and more consistently.

Deployments
4 public, best grade B
Reported cycle time reduction
about 50%
Aviva, organization claim

What the evidence says

Computed from the 40 public deployments behind these use cases. Numbers update with every checked record.

Benchmarks with at least 3 pooled values

Benchmarks across Underwriting use cases
KPIMedianReported rangeData pointsClaimed by
Cycle time reduction50%
50% to 96%
31 organization, 2 vendor
Industries these use cases also serve
AI patterns used
Deployments by stage
  • Announced
    4
  • Pilot
    1
  • Production
    27
  • Scaled
    8
Public deployments by region
  • North America
    21
  • Asia Pacific
    7
  • Global
    5
  • Europe
    5
  • Latin America
    1
  • Middle East
    1

Organizations with a public deployment

  • AXIS Capital
  • Accelerant Holdings
  • American International Group
  • Arch Capital Group
  • Atlanticus
  • Aviva
  • Banesco USA
  • Banestes
  • Bowhead Specialty
  • CNA Financial
  • Chase
  • Citi
  • DBS Bank
  • Fora Financial
  • GXS Bank
  • Generali Global Corporate & Commercial
  • Golden 1 Credit Union
  • Hiscox
  • Kapitus
  • Kinsale Capital Group
  • Kuwait Finance House
  • MYbank
  • Manulife
  • Markel
  • National Australia Bank
  • Nsure.com
  • OakNorth Bank
  • Paragon Insurance Group
  • Patelco Credit Union
  • PayPal
  • Prudential plc
  • SBLI
  • Shinhan Bank
  • Skyward Specialty Insurance Group
  • Sumitomo Mitsui Banking Corporation
  • TAB Bank
  • Upstart Holdings
  • Upstart Network
  • Zurich Insurance Group
  • Zurich North America

Explore the library

All AI use cases

Search and filter the whole library.

State of AI Use Cases

Aggregate findings across every record.

KPI benchmarks

Definitions and reported values per KPI.

Methodology

How every record is verified and graded.