Cognizant says AI-driven FNOL cuts insurance claims cycles 20%-30%

• Cognizant published an industry analysis urging insurers to redesign first notice of loss and damage assessment using multimodal, cloud-native AI platforms.
• Report targets fragmented intake, manual workflows, inconsistent assessments, delayed decisions, which drive longer cycle times, higher costs, weaker customer trust.
• AI tools could cut claims cycles 20%-30% and reduce cost per claim 30%, while strengthening fraud detection and regulatory compliance.
• Sentiment and vocal analytics during FNOL could help agents respond to customer stress, positioning claims handling as a retention lever.

Disclaimer: This news brief was created by Public Technologies (PUBT) using generative artificial intelligence. While PUBT strives to provide accurate and timely information, this AI-generated content is for informational purposes only and should not be interpreted as financial, investment, or legal advice. Cognizant Technology Solutions Corporation published the original content used to generate this news brief on August 05, 2026, and is solely responsible for the information contained therein.