A Step-by-Step Guide to Modernizing Legacy Insurance Systems
- Start to modernize when technology blocks a business result that you can measure.
- Choose the smallest change that removes the problem. You can fix an integration first and replace the core later.
- An API layer reduces cutover risk. Decide which system owns each record before you connect old and new systems.
- Migrate in waves. Each wave needs testing, reconciliation, a rollback plan and business sign-off.
When to Actually Start Modernizing, and Why Most Insurers Wait Too Long
Most insurers know that their core systems are old. Fewer know which systems cost them business.
In December 2022, Deloitte surveyed 100 life and annuity CIOs and their equivalents. Two-thirds said their companies use more than one policy administration system. 23% use more than four. Fewer than one-third had completed some or all of their modernization work.
The same survey shows why the work is hard. 53% named high project cost as an obstacle, and 47% named the effect on their people. 73% planned to upgrade their existing core systems, up from 36% in 2017. 61% preferred small, incremental changes to one large overhaul. (Deloitte Insights)
So the real decision is about timing. You must know when the cost of the old system becomes higher than the cost and risk of change.
You do not need to wait for a failure. Slow launches, more manual work, integration problems and unreliable data all show that technology limits the business.
Five connected parts of an insurer
Before you decide what to modernize, look at how the core operations connect.
- Distribution and quotation: customers and agents get quotes and apply.
- Underwriting: you assess the risk and decide whether to accept it, and on what terms.
- Policy administration: you issue, change, renew and cancel policies.
- Billing and payments: you collect, allocate and reconcile premiums.
- Claims: you register, assess and settle claims.
These functions share customer data, policy records and business rules. For example, a change to pricing or eligibility rules must go through quotation, underwriting, issuance and billing. If these systems cannot exchange data reliably, a small product change becomes a large technology project.
Start with one question: Which business result does our technology block, and what is the safest way to remove that block?
Six Signals That Tell You to Investigate
Measure the effect of a system on the business. These six signals show that effect.
1. Product launches are slow
Measure the time from approved requirements to production. If routine changes need a lot of code and cross-system testing, your business rules are hard to change. One health insurer that we work with moved its channels onto one distribution platform. Its launch time decreased from weeks to days.
2. Operations depend on manual work
Measure manual steps per policy or claim, rework time and data-entry errors. Manual work increases cost and stops you from growing volume without more staff.
3. Integrations are hard to maintain
Measure integration failures, fix time and the effort to add a distribution partner. If each new partner needs a custom connection, integration limits your growth.
4. Maintenance uses the budget for improvement
Compare maintenance spend with investment in new capabilities. Use the same definitions each year.
5. Critical systems depend on a few people
List the applications that only a few people understand. Record vendor support status, documentation gaps and recovery readiness. If these people leave, you may not be able to fix or change the system.
6. Data does not reconcile
Measure mismatches between policy, billing and claims records, and the time to correct them. If you migrate bad data, the new system inherits the same problems.
One metric alone is not sufficient. If several signals get worse over time, investigate. A serious security, compliance or continuity risk needs immediate action.
Choose the Right Scope of Change
Fix a workflow or integration when the core system works but one process or connection causes delays.
Modernize a component when one function, such as document processing or underwriting workflow, causes a measurable bottleneck.
Replace the core platform when its limits, maintenance cost or risk justify a larger change.
You can combine these over time. Fix an integration first, modernize a function next and replace the core later. Base each decision on the business case, the dependencies and the risk.
Five Steps to Modernize Safely
1. Understand the existing system
Record the products, business rules, integrations, data flows and exceptions. Look for rules inside application code and for old workarounds. Check the data quality: duplicates, missing fields and mismatches. If you skip this step, the new system can repeat old problems.
2. Choose a measurable pilot
Select a process where improvement matters and where you can manage the dependencies. Claims intake, document processing, quotation and billing are common choices. Each one connects to other systems and to financial controls. Before you start, define the baseline, the target, the users and the conditions to expand.
3. Connect old and new systems carefully
An API layer lets new applications use the existing core. New services take over functions one at a time, and the legacy system continues to operate. This is the "strangler fig" pattern.
An API layer does not fix bad data, duplicate records or conflicting rules. Decide which system owns each record, how changes synchronize and how you reconcile transactions. Roland Berger identifies data modernization as a critical workstream that transformation programs often underestimate.
4. Migrate in controlled waves
Move one product, line of business, region or renewal cycle at a time. Before each wave goes live:
- Test representative policy and transaction scenarios.
- Reconcile policy counts, premiums, financial balances and open claims.
- Confirm that downstream systems receive the correct data.
- Prepare a rollback procedure.
- Get approval from business, technology, finance and compliance teams.
Keep the old system available until you meet the defined conditions to retire it.
5. Use one plan for all teams
Use Agile sprints for new applications and services. Build checks for actuarial calculations, financial records and regulatory requirements into each release. Business, operations, actuarial, compliance and technology teams must work from one plan.
What This Looks Like in Practice
A health insurer with more than 150 offices used manual data entry. Policy issuance took 4–5 days.
We added a microservices architecture and rebuilt the system with APIs. Agents then processed policies on laptops and tablets. Policy issuance time decreased from days to seconds.
The insurer continued to operate during the change. We changed only the layer that caused the delay. Your result will depend on how much of your issuance process is data entry.
A second project shows the shared-foundation approach. A private life insurer with more than 210 offices needed its agent, policy and underwriting applications to work together. We built a common framework that powers more than 170 applications.
So, When Should You Start?
Start to investigate when technology repeatedly stops you from launching products, serving customers, adding partners or processing transactions efficiently. Also start when the cost or risk of maintenance becomes too high.
First, measure the problem. Next, map the dependencies and compare the options. Then select a contained change with a measurable result and a clear risk plan.
Success means better business results, reliable operations and the ability to adapt.
Not sure where to begin? We can help you assess your systems, find the bottlenecks and choose what to modernize first. Get in touch.
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