Claims processing · Production
Cytora engaged by Chubb to automate claims document processing
The problem
Chubb's claims document processing required manual intervention, with a need to digitize workflows at scale across multiple markets and lines of business.
Workflow diagram · grounded in source
1
Claims documents submitted
trigger
“automate claims document processing”
2
AI digitizes claims documents
ai_action
“Chubb Claims documents to be automatically digitized, eliminating the need for manual intervention”
3
AI-native flows deployed at scale
output
“Cytora's platform enables Chubb teams to create, compose and deploy AI-native Claims document flows in a scalable approach across multiple markets and lines of business”
Reported outcome
Chubb teams can create, compose, and deploy AI-native claims document flows in a scalable approach, with claims documents automatically digitized and manual intervention eliminated.
Reported metrics
Cost of scaling risk volumefraction of the current cost
Reported stack
Cytora's platformGenerative AI
Source
https://www.cytora.com/risk-flow-center/blog/cytora-engaged-by-chubb-to-enhance-claims-automation
Read source ↗Frequently asked questions
What did this team achieve with this AI workflow?
Chubb teams can create, compose, and deploy AI-native claims document flows in a scalable approach, with claims documents automatically digitized and manual intervention eliminated.
What tools did this team use?
Cytora's platform, Generative AI.
What results were reported?
Cost of scaling risk volume: fraction of the current cost (source-reported, not independently verified).
How is this claims processing AI workflow structured?
Claims documents submitted → AI digitizes claims documents → AI-native flows deployed at scale.