Insurance

RPA and point “intake automation” have hit diminishing returns. The next efficiency and experience gains in P&C will come from Agentic AI, systems that can understand, reason, and take actions through your tools and data under guardrails. Start with 5–7 high-leverage assistant patterns (triage, options generation, coverage Q&A with citations, FNOL helper, claims pack builder) and design them as Natural Language […]

For years, UX design has been rooted in screens. We’ve built experiences around menus, cards, forms, and buttons. We’ve obsessed over navigation patterns, transition states, and click flows.  The interface was the product, and it had to be perfect.  But artificial intelligence is shifting that foundation.  We’re now entering an era where UX is no

There’s no sugarcoating, it—this isn’t the same insurance industry as it was five years ago. The rules have changed. Strategies that once worked don’t deliver the same results anymore. Stability feels fleeting, and certainty is a luxury few can afford. Across boardrooms and virtual calls, the same questions echo: What’s next? Where should efforts be

From January to March 2025, generative AI has rapidly evolved, finding additional applications across industries—not least in Property & Casualty (P&C) insurance. Large Language Models (LLMs) are increasingly capable of advanced reasoning, enabling more accurate underwriting decisions and faster claims processing. Simultaneously, new “agentic” frameworks are emerging that grant these models greater autonomy and adaptability—particularly

Imagine this: you’ve just been in a car accident. You’re shaken, stressed, and need quick help. But instead of finding support, you’re stuck navigating confusing forms, long wait times, and unclear instructions. What should be a simple process adds more stress.  This scenario highlights the need for better customer experience in the insurance industry. As

In today’s competitive insurance landscape, efficiency is not just a goal – it’s a necessity. As customer expectations, regulatory pressures, and technological advancements grow, carriers are seeking ways to simplify operations, leverage core competencies, and drive cost-effectiveness through innovation. Key to this strategy is streamlining workflows, improving collaboration with agencies and agents, and delivering exceptional service

In Part 1, we had outlined how AI architectures have evolved from rule-based systems to RAG with tools integration. In this blog, we will look at emerging technologies will shape the future of customer service for the P&C insurance industry. This blog looks at the next generation of AI ‘Agentic Architectures’ for customer service in

The P&C insurance industry is amidst a revolution in customer self-service led by the tremendous growth of Generative AI architectures. In this blog series, we will explore the evolution of these AI systems, from the early rule-based systems to the sophisticated multi-agent frameworks of tomorrow, while outlining the potential impact on the industry. In this

Since the inception of our planet, natural disasters have been a regular affair, resetting ecosystems, changing terrains, and much more. These catastrophes in the modern world cause massive emotional, infrastructural, and economical damage, with the major brunt of costs being borne by insurers. During such periods of disdain, the sheer volume of claims and limited