Category: Blog

Why Most Insurers Struggle to Turn Ambition into Business Outcomes? Personal Lines insurers are not short of ambition. Most have invested heavily in digital journeys, analytics platforms, and AI initiatives. Claims automation exists. Fraud models exist. Retention analytics exist. And yet, when you look at

Your Strategic Advantage for 2025 to 2030 If you work in insurance, you have probably heard the same line everywhere you go:   How unified data, AI, and modern architectures will reshape underwriting, claims, fraud, customer experience, and growth.   1.Introduction Insurance is undergoing one of

What is Hype and What Works Today If you work in insurance, you have probably heard the same line everywhere you go:  “GenAI will transform claims.”  It is a great headline. It sounds exciting.  But behind the noise, many insurers are quietly asking the same

How to Build a Platform Ready for AI  Every organisation wants to “do AI”.  But few are ready for it.  The problem is not a lack of algorithms or ambition. It is data.  Specifically, data that is trapped, fragmented, and inconsistent across systems, departments and

Insurance Fraud is Not a New Story; It is Just Getting Smarter.  From deepfake injury photos to synthetic identities and coordinated networks, fraudsters are now operating like data-driven start-ups. They are fast, resourceful, and increasingly digital.  Meanwhile, insurers are burdened by ageing systems, fragmented data

How GenAI + Lakehouse Are Redefining Claims and Fraud in Insurance Executive Summary  The insurance sector is undergoing a fundamental reset. Traditional claims and fraud management models built on fragmented data, manual review and rule-based systems are being outpaced by AI-driven, data-unified operations.  Modern lakehouse

Where Trust Meets Transformation In insurance, data migration isn’t just about moving information, it is about moving trust.  Every insurer understands the urgency to modernise, but beneath every “cloud migration” lies decades of embedded business logic, policy versions, claims histories, and regulatory rules that cannot