limitedDistribution · Industry Research
The intelligent insurer: Moving beyond legacy constraints with AI-driven modernization
Explores how insurers can navigate legacy constraints with AI-driven modernization.

AI-driven modernization helps insurers overcome legacy constraints by redesigning work processes and leveraging structured data.
Executive Summary
Thomas Rauschen and Daren Rudd discuss how insurers can overcome legacy constraints through AI-driven modernization. They highlight the challenges of AI adoption, emphasizing the need to address foundational constraints like siloed data and outdated processes. The article suggests that AI should be used as a catalyst for redesigning work processes, rather than just automating existing ones. It also discusses the importance of structuring data and breaking down silos to fully leverage AI's potential in underwriting and decision-making.
Source: CGI
Original Article: https://www.cgi.com/en/podcast/banking-and-capital-markets/the-intelligent-insurer-moving-beyond-legacy-constraints-with-ai-driven-modernization
See ROI in 12 weeks
Stargo users see measurable return and operational profitability gains in just 12 weeks, with non-disruptive implementation in 4 weeks or less.