How to Balance Legacy Systems and Innovation in Insurance

For decades, insurance organizations have relied on core systems that were built to last. Policy administration platforms, claims engines, and billing systems have quietly carried the weight of complex products, regulatory rules, and high transaction volumes. These systems were designed for stability, accuracy, and control.

Yet the ground beneath insurance IT is shifting.

Customers expect faster responses and simpler digital journeys. Regulators demand greater transparency and traceability. Data volumes continue to grow, and so does interest in analytics, automation, and artificial intelligence. Business leaders want to speed, but not at the expense of reliability, and technology teams feel the pressure from both sides.

This creates a familiar dilemma for insurance of CIOs and CTOs. Legacy systems remain mission-critical but often struggle to meet modern expectations. Attempts to modernize can feel risky. Full replacement programs promise transformation, yet history shows that many of them stall, exceed budgets, or disrupt operations.

The question is no longer whether insurance IT should modernize. That debate is settled. The real question is how to modernize without putting the business at risk.

Extreme approaches rarely work, and moving too fast creates instability. However, moving too slowly creates stagnation. What insurers need instead is balance. Let’s uncover how insurers can achieve that.

Why Do Legacy Systems Still Matter

Legacy systems often suffer from a reputation problem. People regularly tag them as being outdated, rigid, or expensive. In fact, some of these criticisms are quite accurate, but they tell only part of the story. As such, only one in ten large insurers reports an infrastructure that is less than half legacy. Their “legacy” systems are a mix of older platforms and languages.

Here’s why legacy systems still matter:

• Storehouse of Business Logic

  Most core insurance platforms are a storehouse of business logic built up several decades. The rules for underwriting, pricing, claims handling, and compliance have changed slowly, each time being influenced more by experience than by theory. Such logic is a form of institutional memory accumulated through hard work. Starting all over again is hardly ever a simple matter, and very often it is more dangerous than expected.

• Tested for Regulatory Compliance

  Legacy systems are also essential for regulatory compliance. Insurance is a highly regulated industry, and supervisory authorities impose different obligations across regions and product lines. Core platforms have been extensively tested through audits, reporting cycles, and regulatory reviews. Their reliability is a matter of fact, not an assumption.

• High Cost and Risk of Replacement

  The price, nevertheless, is still a very important factor. Replacing the core on a large scale requires significant funding, an extended schedule, and keeps the business and IT teams engaged throughout the process. Many insurers have discovered, sometimes through painful lessons, that the disruption caused by replacement can outweigh its intended gains.

Full rip-and-replace initiatives carry a high failure rate, especially when they are not tightly aligned with business outcomes.

The real issue is not legacy itself. It is rigidity. Systems that cannot adapt, integrate, or ensure ease of data accessibility become constraints. Systems that can be insulated and extended continue to deliver value.

Wondering whether legacy systems are a liability or an asset? Here’s a quick overview:

The Cost of Standing Still

While legacy systems have value, standing still is not a safe option either. Insurance markets are changing, and inertia comes at a cost.

• Slower Product Launches: One visible impact is slower product launches. When core systems are tightly coupled and difficult to modify, introducing new coverage types or pricing models becomes a drawn-out process. Competitors with more modular architectures can respond faster to market shifts.
• Poor Customer Experience: Fragmented systems lead to fragmented journeys. Policyholders interact with multiple channels, yet not all systems share data smoothly. This results in repeated information requests, delayed responses, and inconsistent communication. Over time, trust erodes.
• Ineffective Data Utilization: The inability to use data effectively is another concern. Advanced analytics, automation, and AI rely on timely and accessible data. Legacy environments often store data in silos, making it difficult to apply these capabilities at scale. As a result, promising initiatives remain stuck in pilot mode.
• Rising Maintenance Costs: Aging platforms require specialized skills that are increasingly scarce. Custom integrations multiply over time, creating brittle environments that are expensive to maintain and hard to change. What once felt stable begins to feel fragile.

Industry analysts note that insurers who delay modernization often face a compounding effect, where technical debt limits future options and increases long-term costs.

Hence, doing nothing is not neutral. It quietly increases risk.

Common Challenges to Core IT Modernization

The need to modernize core insurance systems is widely acknowledged. Yet the path forward is rarely straightforward. Even with strong leadership backing and sufficient funding, re-platforming core systems remains a demanding undertaking, often marked by steep learning curves and material risk.

Recent examples offer a cautionary backdrop. A large Central European insurance group abandoned a cross-border core platform initiative after eight years, writing off more than $500 million. A Southern European carrier completed its claims platform program, but only after exceeding its original budget five times.

Another Central European insurer was unable to successfully build an in-house platform to support its direct business ambitions. In most cases, these outcomes were not driven by a single misstep, but by a combination of structural challenges that commonly surface during core modernization efforts.

Genpact’s recent survey of over 200 insurance executives yielded some interesting findings, as shown in the graph below.

1. Too Big to Manage

Core insurance system modernizations are often sprawling in scope. They span geographies, product lines, and regulatory regimes, and involve a wide range of internal and external stakeholders. When managed as traditional waterfall projects, these programs tend to accumulate complexity quickly, making coordination difficult and decision-making slow.

2. Misalignment Between IT and the Business

Modern platforms need simplification. You can only scale through the combination of standardized products, streamlined processes, and uniform data models. Trying to keep every detail of old business logic while transitioning to a digital core just creates more friction, extends the deadlines, and raises the costs.

A system-led modernization effort forces early alignment between business and IT. It defines shared outcomes instead of preserving legacy preferences.

3. Lack of Shared Long-Term Interests

Selecting a core platform is not a short-term decision. It is a decision that can have a significant impact on operations for a long time, even decades. A close alignment between the company’s needs, the software vendor, and the system integrator is critical for success. When companies lose sight of their long-term goals, partnerships weaken, and modernization programs come to a halt.

4. Technology Stack Obsolescence

People think that technology cycles are getting shorter and shorter over time. In fact, platforms undergo transformations from monoliths to microservices, and from microservices to yet more distributed models. If one’s core systems are heavily customized, off-the-shelf solutions may provide a short-term fit, but they usually restrict upgrade paths and lead to obsolescence. Ultimately, this is contrary to the goal of flexibility that modernization is intended to bring.

Your Blueprint to Balance Legacy Systems and Innovation in Insurance

According to Gartner, global IT spending in the insurance industry rose 8.8% in 2025 to $230.7 billion. From 2024 to 2029, spending is expected to grow at a constant-currency CAGR of 8.7%, largely driven by increased investment in services and software, forecast to grow at CAGRs of 8.1% and 13.3%, respectively.

That said, modernization need not be disruptive. It can be deliberate, phased, and controlled. The most successful insurers follow a blueprint that allows legacy and innovation to coexist.

This blueprint is not a single project, but a sequence of informed decisions.

I. Assess and Prioritize

Typically, a clear understanding should be the first step of any modernization initiative. It is not necessary to give the same treatment to all systems.

An insurer can greatly improve through a thorough evaluation of its IT infrastructure. This should be an in-depth analysis of which systems are indispensable for the smooth running of the business, which limits development, and which can be eliminated without causing significant disruption. The best approach is to distinguish reliable, valuable systems from troublemakers.

Business priorities, not technology trends should drive this assessment. A system that supports a profitable line of business may warrant careful preservation, even if it is old. Another system may appear modern but fail to deliver meaningful value.

Prioritization creates focus. It allows organizations to invest where change delivers the greatest return and to avoid unnecessary disruption.

II. Decouple with APIs and Integration Layers

One of the most effective ways to modernize without risk is to reduce tight coupling. By introducing integration layers and APIs, insurers can isolate core systems from change.

Decoupling supports parallel progress. Teams can innovate at the edges while core operations continue uninterrupted. This also simplifies future changes. When systems communicate through defined interfaces, replacing or upgrading individual components becomes less daunting.

Integration-led modernization is widely recognized as a practical path for insurers with complex environments.

III. Modernize at the Edges

There are different levels of risk across the insurance value chain. Customer-facing and analytics-driven functions usually provide great opportunities for a fresh start.

It is possible to update digital portals, claims intake, underwriting workbenches, and reporting platforms without changing the underlying transaction engines. These places affect customer satisfaction and operational efficiency.

Insurers can demonstrate value early by modernizing at the edges. Improved customer experiences and faster workflows raise trust across the entire organization. Such dynamics make it easier to carry out a comprehensive transformation in the long run.

Edge modernization allows insurers to experiment and learn through trial and error. The insights learned can help later stages be better informed, thus lowering the risk.

IV. Adopt Cloud and Low-Code Where It Fits

Cloud platforms and low-code tools provide flexibility, but they are not magic solutions that will fix everything. If used prudently, they can facilitate the process and lower the workload.

Cloud migration is most effective when it is associated with a well-defined set of job tasks. Non-core functions, data analysis platforms, and integration services are a few areas that can benefit from the cloud’s scalability. Embracing low-code platforms can be a great help to development teams in building applications faster, especially for creating internal workflows and extensions.

The secret lies in keeping control. The deployment of new platforms without a proper system of checks and balances can lead to a different sort of intricacy. Winning insurers are those that adopt such tools where they fit naturally, rather than forcing them in.

V. Integrate AI and Automation Incrementally

“A robust regulatory framework for AI is needed that’s proportional to the risks. Regulation should not stifle innovation but safeguard usage.” – Mark Longworth, Global Head of Insurance Advisory at KPMG International and Partner at KPMG. Here’s a quick insight to support this:

Source: KPMG

AI and automation continue to attract significant attention, but their value will depend on the context.

Instead of large, abstract programs, insurers report greater success when they eliminate a specific problem. Claims triage, document processing, underwriting support, and customer service represent the most popular starting points.

Incremental deployment enables teams to review results, manage risk, and fine-tune the model. It also helps to lessen the anxiety associated with the change. Acceptance improves when automation works alongside staff rather than replacing them.

VI. Embed Governance, Security, and Compliance by Design

Trust is an essential ingredient for successful modernization. In insurance, trust is mainly supported by security, compliance, and data integrity.

Governance will become more critical, not less, as the systems get more distributed. A combination of clear architectural standards, data ownership models, and access controls would significantly reduce the risk of fragmentation. Security should be embedded at every level, from integration points to user interfaces.

Attention must also be paid to regulatory compliance. New architectures must support auditability, data lineage, and reporting requirements. Therefore, such considerations should dictate the initial design decisions.

Companies that see governance as their foundation rather than a limitation are well-positioned to scale safely. Industry frameworks have been placing increasing emphasis on the need for security and compliance to keep pace with modernization efforts.

What Successful Insurers Are Doing Differently

Across the industry, certain patterns emerge among insurers that modernize effectively.

They think in terms of roadmaps, not one-time projects. Modernization is framed as a journey with clear milestones and review points. This reduces pressure and allows for course correction.

They align technology initiatives with business metrics. Successful digital transformation in insurance is measured in reduced cycle times, improved customer satisfaction, or lower operational costs, not just system upgrades.

They also choose partners carefully. Rather than relying solely on platform vendors, they work with advisors who understand insurance operations. Domain knowledge matters when navigating complex environments.

Most importantly, they accept that coexistence is essential. Legacy and modern systems coexist for extended periods. This coexistence is deliberately managed, not reluctantly tolerated.

Damco’s Take on Insurance Modernization

At Damco, we begin with a simple belief: insurance comes first. Technology is important, but it is not the starting point. The starting point is always business. We ask practical questions. Will this change help claims move faster and with fewer errors? Will it support underwriters in managing risk more confidently? Will it allow operations to handle growth without breaking under pressure? If the answer is unclear, we rethink the approach.

Moreover, most insurers run on complex legacy systems that support policy, billing, and claims. These systems are deeply integrated into daily operations. Replacing them entirely is often risky and disruptive. As such, our approach is to assess what is stable and still deliver value, then modernize it in a controlled way. To that end, we upgrade specific components, migrate certain apps to the cloud, automate specific workflows, and more.

At the same time, we believe that legacy system modernization must translate into visible business value. For instance, when systems are better connected, data becomes more accurate and teams spend less time fixing errors. In our experience, modernization works best when it moves step by step. It should protect stable legacy systems while introducing innovation carefully, always with clear and measurable business outcomes in mind.

Conclusion

When it comes to balancing legacy and innovation, insurance leaders do not need to choose between stability and progress. With the right blueprint, they can preserve the strengths of their core systems while unlocking new capabilities at the edges.

Modernization works best when it is deliberate, when fear is addressed openly. When technology serves business goals, it’s not the other way around.

In a sector built on trust, progress must be earned. Controlled modernization allows insurers to move forward with confidence, clarity, and continuity. Consult a legacy system modernization partner to define a practical, low-risk roadmap that strengthens core systems while enabling innovation and scale.