QA & Automation

Context

A national insurance provider undertaking a multi-year policy administration platform replacement, integrating a new core policy engine with existing claims, billing, and customer portal systems, supported by a delivery team running quarterly release cycles.

The Problem Statement

Manual regression testing across the growing web of system integrations had become the primary bottleneck in the release cycle, consuming several weeks per release and still allowing defects to reach production due to inconsistent test coverage. Security testing was treated as a late-stage, pre-release gate rather than a continuous discipline, creating last-minute release risk and repeated rework.

Approach

AIIDA's Quality Engineering practice was engaged to redesign the testing operating model end-to-end — not just automate existing manual scripts, but rebuild the test strategy around risk-based coverage, shifting testing left into the development pipeline, and integrating security testing as a continuous rather than final-gate activity.

Technical Execution

An automated regression suite was built covering core policy, claims, and billing workflows, integrated directly into the CI/CD pipeline so that every code commit triggered automated functional, integration, and API-level tests. A dedicated UAT automation framework was developed with reusable, data-driven test components mapped with full requirements traceability, reducing dependency on manual UAT effort for each release. DevSecOps integration embedded static and dynamic security scanning directly into the pipeline, with automated performance testing thresholds gating release promotion.

Methodology

Delivery used dedicated Agile QA squads embedded within each delivery team (rather than a separate, downstream testing function), with a phased rollout starting on the highest-risk integration points, followed by a hypercare period to stabilise automation reliability before full regression suite handover.