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Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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From Product Roadmap to AI Execution: Strategic Leadership in Insurance Tech Transformation

Authors: Rajamani, Lavanya;

From Product Roadmap to AI Execution: Strategic Leadership in Insurance Tech Transformation

Abstract

This paper examines strategic leadership and technical strategies enabling insurers to transition from legacy product roadmaps to AI-driven execution. Industry trends up to 2025 were synthesized, emphasizing how companies integrate modern core platforms (e.g., Guidewire, Duck Creek) with agile practices to deliver innovative products and AI solutions. The alignment of product vision with technology roadmaps have been highlighted, including AI pilots in underwriting, claims, and customer service, while maintaining operational discipline. Key factors include executive governance, cross-functional teams, and metrics-driven accountability. Fictional tables illustrate roadmap maturity, transformation KPIs, and AI performance metrics, and conceptual figures (e.g.,radial roadmaps and readiness heatmaps) demonstrate how strategy maps to execution. My analysis underscores the importance of agile modernization of legacy systems, robust data governance, and workforce upskilling in enabling scalable AI deployment. In this global context, regulatory and market dynamics are considered, illustrating how strategic roadmaps can be adapted across regions. The contribution is a cohesive framework linking product management, agile change, and AI execution, offering actionable guidance for insurance leaders seeking competitive advantage.

Keywords

Insurance Technology, Strategic Leadership, Artificial Intelligence, Product RoadMap

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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