Overview
The biggest bottleneck in insurance today is how products are built. For years, the industry has relied on a one-size-fits-all approach designing a single product and pushing it across vastly different customer segments. It is slow, costly, and increasingly out of step with today's expectations.
But that model is starting to break.
In this conversation, 360F's Chief Product Officer Anirudh Somani, together with Synpulse's Sujin Saj and Su Yu (Evette) Kho, discuss the Agentic Insurance Product Factory and what it means for the future of the industry.
The Biggest Bottleneck in Insurance
The Problem
The traditional model of insurance product development was built for a different era. A product would be conceived, priced by actuaries, approved by legal and compliance, coded by IT, and eventually launched often 9 to 12 months after the original idea. By then, the market had moved.
The one-size-fits-all approach compounds the problem. A single product designed for a broad segment satisfies no one particularly well. It is the compromise that underlies most insurance portfolios today.
This is not a technology problem. It is a process, talent, and organisational alignment problem and fixing it requires rethinking how insurers think, operate, and create value.
The Agentic Insurance Product Factory
The Shift
A new approach is emerging one that enables insurers to move from a slow, linear product development process to a continuous, AI-powered product factory. The key capabilities it unlocks:
- Launch new products in weeks to seize opportunities faster before the window closes.
- Continuously refine offerings to stay competitive as market conditions evolve.
- Turn market needs into differentiated propositions instead of generic product bundles.
- Align teams for faster, smarter execution across actuarial, product, compliance, and technology.
This shift is not just about technology. It represents a fundamental change in how insurers think, operate and create value. Those who fail to adapt risk falling behind faster than ever.
