The insurance industry is undergoing a period of profound change. Artificial intelligence is advancing at a rapid pace, digital distribution channels are gaining importance, and regulatory requirements are becoming more complex. At the same time, customers expect the same digital user experience they’re already familiar with from other industries: fast processes, transparent communication, and services that are available at all times.
Technological innovations are virtually limitless today.
The real challenge, therefore , is no longer which technologies can be used, but how they can be meaningfully integrated into existing system landscapes.
Many insurers are already investing in new solutions. Nevertheless, numerous transformation projects are progressing more slowly than planned. The reason often lies not in individual applications, but in the legacy IT architecture.
Most insurers have core systems that have been continuously expanded over many years—in some cases, over decades. New products were added, regulatory requirements were implemented, custom processes were developed, and numerous interfaces were created. These systems still fulfill their purpose. At the same time, they make change difficult.
The more closely business logic, product rules, and custom developments are intertwined, the more complex each adjustment becomes. A small business-related change can quickly turn into a project involving multiple applications, various departments, and extensive testing.
The real problem here is not the age of a system, but rather its ability to evolve.
Insurers today are investing in customer portals, broker portals, mobile applications, and AI solutions. However, these innovations only deliver their full value when they are seamlessly connected to core insurance processes. Without standardized interfaces, custom integrations are required.
Each new application thus increases the complexity of the entire IT landscape. The result: It is not the development of new digital services that becomes the bottleneck, but rather their integration.
A few years ago, it was acceptable for the launch of a new insurance product to take several months. Today, the market is changing much faster.
New distribution partners, embedded insurance models, regulatory changes, and AI applications all demand shorter development and release cycles. Many insurers are therefore finding that it’s not a lack of ideas—but rather the technical ability to implement them in a timely manner. As a result, innovation is increasingly determined by architecture.
Insurers have enormous amounts of data. Customer information, policy data, claims histories, and documents are often already available in full. Nevertheless, this information is frequently scattered across different applications. Duplicate data storage complicates automation, analysis, and the use of artificial intelligence.
This is because AI does not require as much data as possible; it requires consistent, high-quality data.
Hardly any other topic is currently occupying the industry more than AI. Discussions often focus on individual use cases:
The real challenge, however, lies elsewhere. AI is changing expectations for the entire IT architecture. When information is scattered across numerous systems or business processes cannot be digitally mapped, even the best AI quickly reaches its limits.
The foundation of successful AI projects is therefore not the model alone, but rather a modern and integrated platform.
Many digital transformation programs begin with the search for a new solution.
In doing so, they often overlook the fact that the real added value comes from the interaction of all systems.
The question is therefore not:
“What software are we missing?”
But rather:
How do we create an architecture in which all systems work together efficiently?
The technological challenges facing the insurance industry have changed.
In the past, the focus was often on introducing new software.
Today, the focus is on further developing existing systems so that they can provide long-term support for innovations, regulatory requirements, and new business models.
The most successful insurers will therefore not be those that adopt as many new technologies as possible.
Rather, they will be those whose IT architecture enables change rather than hindering it.