ENGINEERING INTELLIGENT INSURANCE SYSTEMS: A Strategic & Technical Guide to Guidewire, Duck Creek, Insurity, Origami Risk, Socotra, and Beyond

· Radhakrishnan Arikrishna Perumal
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Engineering Intelligent Insurance Systems

A Modern Approach to Development

By Radhakrishnan Arikrishna Perumal

In today’s hyper-competitive and digitally evolving insurance landscape, technology is no longer a back-office function—it is the core of strategic advantage. Engineering Intelligent Insurance Systems delivers a bold and comprehensive blueprint for how to architect, modernize, and scale intelligent, AI-powered insurance platforms that are resilient, secure, and ready for tomorrow.

Whether you're a CTO, Solutions Architect, Technical Leader, or Senior Developer, this book is a definitive guide to building the next generation of cloud-native, event-driven, and API-first insurance systems. It explores the architectural principles, best practices, and transformation playbooks that have powered some of the most successful implementations across the globe.

Through a practical, experience-driven lens, the book covers modern Policy Administration Systems (PAS) and digital insurance ecosystems—featuring leading platforms such as Guidewire, Duck Creek, Insurity, Socotra, Majesco, EIS, One Inc, Origami Risk, and more. You’ll gain deep insight into how to strategically enable digital transformation, improve time to market, enhance customer experience, and reduce operational overhead.


What You Will Learn:

Event-Driven Architecture & API-First Designs

Master the patterns and technologies behind scalable, loosely coupled insurance platforms using Kafka, Event Grid, Event Hub, and RESTful APIs.

Multi-Tenant SaaS Enablement

Learn how to build secure, isolated, and compliant multi-tenant cloud platforms leveraging Azure, AWS, and Kubernetes best practices.

AI-Powered Innovation

Design and implement intelligent systems for fraud detection, claims automation, underwriting, and policy servicing using real-world AI/ML use cases.

Data Modernization and Migration

Discover proven methods for transitioning from legacy systems to modern PAS and data lakes with zero disruption to business continuity.

Low-Code, No-Code, and Ecosystem Integration

Explore the tools, strategies, and governance models to connect external platforms like Zapier, Power Automate, and Mendix with your core.

Governance, CoEs, and Talent Strategy

Build resilient platforms with architecture governance, DevSecOps CI/CD pipelines, and Center of Excellence (CoE) frameworks for sustained innovation.


🔑 Key Features:

💡 In-depth cloud architecture blueprints, reference patterns, and system design models

📚 Platform-specific chapters on Guidewire, Duck Creek, Majesco, Insurity, and more

📋 Digital transformation checklists, implementation playbooks, and KPIs

🧠 Real-world case studies, diagrams, and security considerations

🧾 Comprehensive appendices with CI/CD templates, glossaries, and cloud reference models

🎯 Insights for aligning insurance technology with compliance, analytics, and customer 360 strategies


Rreth autorit

Radhakrishnan Arikrishna Perumal (Krish) is a visionary Principal Software Architect with over 22 years of experience in software engineering, enterprise architecture, and cloud transformation—particularly within the insurance domain. He has architected and led end-to-end Guidewire implementations for major insurers across the U.S., spearheading innovations in digital enablement, platform modernization, and AI integration.

Krish is the author of over 15 technical books on cloud computing, insurance technology, AI, and software modernization. He is a peer reviewer, conference speaker, patent holder, and active contributor to the enterprise tech and academic communities. His unique ability to synthesize technical depth with business value has made him a respected thought leader in Guidewire-based architecture and digital insurance solutions.

Through this book, he shares his deep expertise and strategic vision to help the next generation of insurance technologists architect future-ready, secure, and intelligent systems.

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