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CNA Insurance Tech Stack

Commercial P&C insurer modernizing claims and underwriting operations

Insurance Chicago, Illinois 5,001–10,000 employees Public Company
cna.com LinkedIn

CNA is a large U.S. commercial property and casualty insurer operating across 5,001–10,000 employees, now actively modernizing its technology foundation. The stack shows a shift toward cloud platforms (GCP, AWS, Guidewire Cloud) and AI-native tools (Vertex AI, Gemini, LangChain, LangGraph) while retiring legacy collaboration infrastructure (Lotus Notes, Citrix ShareFile). Hiring velocity is accelerating with heavy skew toward senior and director roles in operations and claims, signaling both scale-up and technical depth investments in claim service strategy and underwriting modernization.

Tech Stack 44 technologies

Core StackJira Confluence Salesforce Workday Power Automate AWS Looker Power BI BigQuery PostgreSQL Python Tableau Vertex AI OpenAI LangChain Planview Tenable VBA Workday Studio Prism Mendix Guidewire GCP Guidewire Cloud ERWIN Composer Gemini LangGraph Google Agent Development Kit LangSmith+12 more
ReplacingLotus Notes Citrix ShareFile

What CNA Insurance Is Building

◆Challenges

  • Managing complex commercial claims
  • High exposure claims
  • Unifying midwest region
  • Complex underwriting challenges
  • Profitability of large account casualty book
  • Driving profitability growth
  • Improving operational effectiveness
  • High complexity claims
  • Complex litigation
  • Reducing claim cycle time

▲Active Projects

  • Unify midwest region
  • Accelerate expansion of middle market technology portfolio
  • Accelerating portfolio expansion
  • Modernization and migration of legacy collaboration platforms
  • Loss picks development
  • Customer evaluation survey customization
  • Claim service strategy development
  • Annual profitability review
  • Pricing closeouts
  • Ai enablement and microsoft copilot adoption

Hiring Activity

Accelerating260 roles · 170 in 30d

Department

Ops
65
Claims
59
Support
29
Legal
28
Insurance
24
Finance
15
Healthcare
11
Sales
10

Seniority

Senior
86
Director
82
Mid
80
Manager
9
VP
4
Junior
2
Principal
1

Notable leadership hires: Claims Director, Underwriting Lead

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About CNA Insurance

CNA provides commercial property and casualty insurance for businesses and professionals across the U.S., Canada, and Europe. The company serves multiple verticals including construction, financial institutions, healthcare, manufacturing, professional services, real estate, small business, and technology. Operations span standard and specialized insurance products, with internal focus on unifying regional operations, expanding the middle-market technology portfolio, and reducing claim cycle times. Current initiatives include modernization of legacy platforms, loss picks development, and AI-enablement projects alongside Microsoft Copilot adoption.

HeadquartersChicago, Illinois
Company Size5,001–10,000 employees
Hiring MarketsUnited States, Peru, Canada

Frequently Asked Questions

What tech stack does CNA Insurance use?

CNA's stack includes Guidewire (insurance platform), Salesforce (CRM), Workday (HR), GCP and AWS (cloud), BigQuery and PostgreSQL (data), Power BI and Looker (analytics), Vertex AI and Gemini (AI/ML), and LangChain/LangGraph for agent development. It recently replaced Lotus Notes and Citrix ShareFile.

What is CNA Insurance working on?

Key projects include unifying Midwest region operations, accelerating middle-market technology portfolio expansion, modernizing legacy collaboration platforms, developing loss picks functionality, and AI enablement with Microsoft Copilot adoption to improve claim service strategy and operational effectiveness.

How this profile is built

CNA Insurance's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.