From insight to execution agentic AI for insurance

This Everest Group paper, supported by NTT DATA, highlights how the gap between insight and execution is becoming one of the defining challenges for the insurance industry. While most insurers have invested heavily in data, analytics and AI capabilities, many continue to face a fundamental challenge turning insight into consistent and scalable execution. 

Despite the availability of vast amounts of structured and unstructured data, decision making processes often remain constrained by fragmented systems, manual workflows and legacy architectures. As a result, insurers struggle to act on insights in real time, limiting their ability to respond to evolving customer expectations, emerging risks and competitive pressures. 

Recent research developed by Everest Group highlights how this gap between insight and execution is becoming one of the defining challenges for the industry. While organizations are increasingly effective at generating insights, translating them into coordinated action across the enterprise remains complex. 

A new approach is now emerging. Systems of execution powered by agentic AI are redefining how insurers operate by embedding intelligence directly into business processes. Rather than stopping at insight generation, this model enables decisions to be executed dynamically, in real time and at scale. 

Agentic AI introduces a new class of systems capable of reasoning, orchestrating and acting autonomously within defined guardrails. These systems connect data, decision logic and operational workflows, allowing insurers to move from reactive decision making to proactive and outcome driven execution. 

At NTT DATA, we see this shift as a critical step in the evolution of the insurance operating model. Moving from insight to execution requires more than deploying AI models. It requires rethinking how work gets done across underwriting, claims and customer operations, enabling seamless coordination between humans, AI agents and core systems. 

Through our NTT DATA AI for Insurance platform, we enable insurers to build agentic systems of execution that orchestrate workflows across the enterprise. This includes integrating internal and external data sources, enabling real-time decision support and embedding intelligence into day-to-day operations. The approach is cloud agnostic and designed to scale within complex insurance environments. 

In underwriting, this enables faster and more informed risk assessment by continuously learning from new data and supporting underwriters with real time recommendations. In claims, it enhances efficiency and accuracy by automating data collection, improving fraud detection and enabling more consistent decision making across complex cases. Across customer engagement, it allows insurers to deliver more responsive and context-aware experiences. 

Importantly, this transformation balances automation with control. Agentic systems are designed to operate within clear governance frameworks, ensuring transparency, explainability and compliance. By combining autonomous execution with human oversight, insurers can achieve significant productivity gains while maintaining trust. 

The opportunity is clear. Insurers that successfully move from insight to execution will be better positioned to improve operational efficiency, enhance customer outcomes and unlock new sources of growth. 

The industry has already proven that AI can generate insights. The next phase is about ensuring those insights translate into action consistently, intelligently and at scale. Agentic AI and systems of execution provide the foundation for this shift and define the next chapter in the transformation of insurance. 

Explore the full research developed by Everest Group to understand how leading insurers are approaching this transition and what it means for the future of the industry.