CASE STUDY
Large Insurance Enterprise
A measurable shift from fragile automation to release-ready insurance quality
Achieving 87% Defect Reduction in Core Insurance Systems with Business-Driven Test Automation
Industry: Insurance TechnologyCompany Size: 3,000+ Employees
Client Intro
The client is a large enterprise insurance organization operating complex Policy, Billing, and Claims (PNC) platforms that support multiple insurance products, jurisdictions, and regulatory requirements. With frequent configuration changes, rating updates, and compliance-driven releases, the client required a modern, scalable quality engineering approach to ensure release confidence without slowing down business velocity
To modernize their quality assurance strategy and overcome the limitations of legacy automation frameworks, the client adopted ACCELQ’s unified, codeless test automation platform to transform how insurance testing was designed, executed, and maintained.
Business Objectives
The client defined clear, outcome-driven goals to measure success:
- Replace fragile, script-heavy automation with maximum reuse and minimal maintenance
- Enable business and functional users to design and maintain test automation without coding
- Compress lengthy regression cycles that currently took over one month per execution
- Reduce defect leakage from an average of 8 defects per module per month to fewer than 2
- Establish a future-proof automation foundation aligned with ongoing insurance product evolution
Automation Challenges:
The challenges faced were specific to enterprise insurance platforms and could not be effectively addressed by generic test automation approaches.
- Configuration-Driven Business Complexity: Insurance workflows involved highly configurable products, regulations, and rating logic, forcing duplicated scripts for each variation and limiting reuse across automation assets.
- Excessive Regression Timelines: End-to-end regression cycles took over 30 days, making it difficult to validate regulatory changes, product updates, and defect fixes within required release windows.
- High Defect Leakage Despite Automation: Despite automation, the client experienced ~8 defects per month per module, exposing gaps in end-to-end coverage, data variation handling, and insurance lifecycle validation.
- Heavy Maintenance Overhead: Frequent UI updates, rule changes, and environment differences caused repeated script failures. QA teams spent disproportionate time fixing automation instead of improving test quality.
- Limited Business Participation: Although BDD existed, automation creation and maintenance still depended on technical specialists. Business users and functional SMEs were effectively excluded from active automation ownership.
ACCELQ helped us scale insurance test automation without scaling effort. The impact on defect reduction, reuse, and release readiness was immediate and measurable.
- Head of Quality Assurance, Insurance Technology
Benefits
87 % Reduction in Defect Leakage
- Defect leakage reduced from 8 per module per month to near-zero levels.
- Earlier identification of rating, workflow, and integration issues
- Improved production stability and release confidence
Regression Cycle Time Reduced by Over 80%
- Regression execution reduced from 30+ days to under 5 days
- Enabled faster validation of regulatory and business changes
High Reuse with Minimal Maintenance
- Over 80% reuse across insurance workflows and configurations
- UI or rule changes required updates in a single location
- Maintenance effort reduced by approximately 60%
Business-Driven Automation Enablement
- Business and functional users could assemble and modify scenarios without coding
- QA engineers shifted focus from script repair to test design and risk analysis
Faster Releases At Higher Quality
Multi-Day Manual Test Effort Reduced To Few Hours Of Automated Regression
Significant Cost & Effort Reduction
Modularity Enabling Development For New Business Process Automation With Over 80% Re-Use
Business Process Focused
Enabled Testing Teams To Design And Develop Automation Concurrently With New Feature Implementation
Technical Excellence With Sustainable Benefit
Embedded Best Practices And Design Principles Address Peripheral Concerns And Traceability Consistently
