A quantitative framework for evaluating AI opportunities through ROI, time to value, and risk, with practical applications for the Insurance sector.
This Zensar Technologies white paper presents a quantitative framework for insurance executives, AI strategists, and technology leaders deciding which AI projects merit investment. It reports that only 5% of custom or pre-built AI systems in cited research reach deployment.
Readers will learn to categorize AI use cases, calculate five-year ROI and payback periods, and assess reliability, governance, and societal risks. The paper cites insurance AI use of 26.4% in claims and 15.1% in customer service, and its illustrative table assigns call-summary automation a 110% five-year ROI and a one-year breakeven point. Zensar’s paper cautions, “No two businesses are alike.” The framework supports comparisons of expected financial returns, time to value, and implementation risks.

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| Website: | Visit Publisher Website |
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| Publisher: | Zensar |
| Published: | October 29, 2026 |
| License: | Copyrighted |
| Copyright: | © 2026 Zensar. All Rights Reserved |
| Tags: | Agentic AIai use casesartificial intelligence (AI)genaistrategy |