CASE STUDY
Complex Migration of Policies, Claims, and Billing Data Completed with Near-Zero Exceptions
Company Background
One of INFORCE’s long-standing carrier clients is a mid-sized insurance company with a diversified portfolio spanning personal and commercial lines. Over decades of steady growth, the carrier accumulated vast volumes of policy, claims, and billing data across multiple legacy systems, each shaped by different eras of technology, regulatory requirements, and business practices.
While these systems had served the business well historically, they increasingly constrained the carrier’s ability to modernize operations, improve data accessibility, and support new digital initiatives. To remain competitive, the organization committed to moving onto a modern core platform capable of supporting future growth, analytics, and automation.
The success of this modernization effort hinged on one critical factor: migrating decades of business-critical data without introducing downstream data quality issues that could disrupt operations, compliance, or customer trust after go-live.
CLIENT CHALLENGE
The carrier faced one of the most difficult challenges in insurance IT: migrating decades of deeply interrelated policy, claims, and financial data into a new system without breaking anything.
The data spanned multiple legacy platforms, each with its own data structures, business rules, and historical inconsistencies. Policy records were tightly linked to claims histories, billing schedules, endorsements, cancellations, and financial transactions accumulated over many years. Even small errors or mismatches could surface post-go-live as billing discrepancies, claims processing issues, or regulatory reporting failures.
The business made one thing clear:
This migration could not become a post-implementation cleanup project.
Industry norms often accept higher post-migration exception rates followed by months of remediation. That approach was not acceptable. The carrier needed confidence that data quality issues would be identified, validated, and resolved before the new platform went live.
Our
Solution
From data uncertainty to controlled execution: INFORCE engineered a repeatable migration playbook designed for scale, traceability, and precision.
Rather than treating the migration as a one-time technical exercise, INFORCE designed a structured, repeatable migration framework built to surface issues early and validate accuracy at every stage. The team began by mapping full data lineage across legacy systems, ensuring every policy, claim, and billing transaction could be traced from source to target with complete transparency.
INFORCE implemented staged validation checkpoints throughout the migration lifecycle. Each data domain, including policies, claims, billing, and financials, was migrated through controlled iterations, allowing the team to validate record counts, relationships, financial balances, and business rule outcomes before progressing further. Automated reconciliation processes compared source and target data in near real time, dramatically reducing the risk of hidden discrepancies.
This approach transformed migration from a high-risk “big bang” event into a managed, testable process. Exceptions were identified early, analyzed collaboratively with business stakeholders, and resolved systematically rather than deferred. By the time the final migration occurred, the data had already passed multiple rounds of validation and reconciliation.
Equally important, the playbook was designed to be reusable. The carrier now had a proven methodology they could apply to future migrations, acquisitions, or platform expansions, reducing long-term risk beyond this single initiative.
THE RESULTS
<0.01% data exception rate at go-live
The migration completed with a data exception rate well below industry norms, eliminating the need for prolonged post-go-live remediation efforts.
Accelerated confidence in the new platform
With clean, validated data from day one, the carrier was able to immediately leverage the modern platform’s capabilities without hesitation.
Zero disruption to policy, claims, or billing operations
Business users transitioned to the new platform without encountering downstream data issues that commonly plague large-scale migrations.
A repeatable migration framework for future initiatives
The migration playbook established a scalable foundation for future modernization efforts, reducing risk for subsequent data movements.
business Impact Analysis
The value of the project extended far beyond technical accuracy. By avoiding post-go-live data issues, the carrier eliminated the need for months of reactive cleanup work that typically consumes IT, operations, and finance teams after major migrations.
Industry benchmarks suggest that large insurance data migrations often require extended stabilization periods involving cross-functional teams and external consultants. By achieving near-zero exceptions at launch, the carrier avoided these hidden costs while protecting customer experience, regulatory compliance, and internal confidence in the modernization program.
Just as importantly, the migration reinforced trust between business and IT leadership. Stakeholders who were initially wary of the risks associated with moving decades of data became strong advocates for the platform once they saw the rigor and discipline behind the execution.
The project also positioned the organization to move faster in the future. With a proven migration methodology in place, the carrier can now approach future system changes with greater confidence, predictability, and control.