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Infosys Topaz Fabric for Insurance
Overview
Insurance is entering a new operating era. Evolving risks, rising customer expectations, workforce gaps, and growing pressure to improve efficiency are making enterprise-wide AI adoption a business priority.
Yet many insurers remain caught in the pilot trap. AI investments exist across functions, but value remains fragmented because intelligence is not orchestrated across the enterprise.
Infosys Topaz Fabric for Insurance helps insurers move from an augmented enterprise, where AI assists people with individual tasks, to an autonomous enterprise, where humans and AI agents work together across adaptive processes.
Built for the insurance context, it brings together enterprise data, AI models, agents, workflows, governance, and human expertise. It works with existing technology investments rather than requiring a rip-and-replace approach.
With three connected pillars — Work, Workforce, and Workflows — Infosys Topaz Fabric for Insurance helps insurers embed intelligence into core functions, amplify their workforce, and create adaptive ways of working.
Orchestrate AI. Transform Insurance
Infosys Topaz Fabric for Insurance helps insurers turn AI from isolated experimentation into measurable business outcomes by connecting intelligence, people, and processes across the insurance value chain.
Talk to our expertsEmbed AI agents into core insurance functions to automate cognitive work, handle complex and unstructured information, and accelerate decision-making.
Bring humans and specialized AI agents together as collaborative teams, with the skills, governance, and human oversight needed to scale AI responsibly.
Transform static, sequential processes into AI-driven workflows that dynamically route work, reduce hand-offs, and adapt to changing business needs.
Apply enterprise knowledge, insurance domain expertise, governance, and specialized AI capabilities across functions such as underwriting, claims, policy servicing, distribution, finance, and risk.
Reduce manual effort by embedding AI agents into high-value insurance processes
Accelerate decisions across underwriting, claims, servicing, risk, and other critical functions
Improve productivity and efficiency through AI-powered, outcome-led operations
Strengthen risk and compliance with human-in-the-loop governance and explainable AI
Build AI-ready talent through structured upskilling and AI-augmented ways of working
Scale AI beyond pilots through reusable agents, services, workflows, and enterprise orchestration
Build on existing investments with a platform-agnostic approach that avoids vendor lock-in
Improve customer experiences through faster, more personalized interactions and turnaround
Challenges & Solutions
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