MicrosoftLive sourceProductionEvidence: Medium60/100

KB Life Insurance Automates Underwriting and Contract Review with GenAI Assistants

Use case typeRisk assessmentUpdated Jun 13, 2026

KB Life Insurance modernized its underwriting and contract review operations by deploying generative AI-powered assistants via the Langcode CXP platform, available in the Microsoft Azure Marketplace. Traditionally, these processes were manual, time-consuming, and labor-intensive, hampering productivity. By integrating Langcode CXP, KB Life Insurance leveraged AI to automate insurance contract review, conduct risk evaluation, and generate personalized reports—seamlessly pulling data from more than 90 enterprise sources. The solution features personalized Q&A, report generation, and real-time data sync, accelerating the pace and reliability of insurance operations. This transformation delivered significant improvements in efficiency, reducing the manual burden on employees and helping the organization achieve compliance through enterprise-grade security and data governance.

Organization
KB Life Insurance
Industry
Insurance
Location
South Korea
Published
June 2025

Reported outcomes

+60%

productivityProductivity & throughput

Strategic outcomes

Speed & agilityAutomated underwriting and contract reviewNew product / capabilityAdded AI risk evaluation and report generationScale & capacityIntegrated over 90 data sourcesRisk & complianceStrengthened compliance in insurance workflows
Why do we believe this?Outcome claims, sources, and evidence checks

Normalized claim

Productivity: 60% increase

Azure MarketplaceJun 3, 2025UnknownInferred claimMedium evidence strength

Increased underwriting and contract review productivity by 60%.

Last evidence check: Jun 1, 2026

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
Customer
KB Life Insurance
Provider
Microsoft
Maturity
Production
Linked source
Azure Marketplace

Employees spent considerable time on repetitive tasks, reducing operational efficiency

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 3 of 3

  • 1Automated Underwriting Decision-Making Using GenAI Assistants
  • 2AI-powered Insurance Contract Review and Risk Evaluation
  • 3Personalized Q&A and Report Generation for Insurance Workflows
  • Manual underwriting and contract review processes were slow and labor-intensive.
  • Employees spent considerable time on repetitive tasks, reducing operational efficiency.
  • Managing and evaluating information across over 90 enterprise data sources was challenging.
  • Traditional methods limited the speed of insurance policy issuance and customer service.
  • Implemented Langcode CXP GenAI platform from Azure Marketplace for automated contract review and underwriting.
  • Integrated AI for personalized Q&A, risk evaluation, and report generation.
  • Enabled rapid data integration from over 90 internal and external sources, including databases and APIs.
  • Deployed AI assistants tailored to insurance operations with seamless, scalable setup, and real-time data sync.
  • Increased underwriting and contract review productivity by 60%.
  • Greatly reduced dependence on manual labor for routine processes.
  • Accelerated speed and reliability of insurance operations.
  • Laid the foundation for further AI-powered automation and compliance in insurance workflows.
Architecture

KB Life integrated Langcode CXP with 90+ enterprise data sources (documents, databases, APIs). AI assistants automate contract review and underwriting, support personalized Q&A, and generate reports. The solution is deployed via Azure, supports real-time integration, RBAC, data governance, and auditability through the platform console.

Sources & evidence1
Evidence: Medium60/100Evidence strength
  • Customer explicitly identified
  • Deployment status explicitly supported
  • Quantified outcome available
  • Technical implementation details available
  • Recent evidence check available
  • Last evidence check: Jun 1, 2026.
Live sourceStill referenced

The case's original source is still reachable.

  • Cited source last checked Jun 1, 2026 — ok (0/1 broken).

Measures whether this deployment's public evidence persists — not whether the system is still in production.

Published: Jun 3, 2025Publisher: Azure Marketplace

AI-generated summary. Verify important details with the linked sources before relying on this case.

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