Powering QA/QE for a Growing Digital Platform
iPipeline is a leading global provider of integrated, end-to-end digital solutions for the life insurance and financial services industries worldwide. The company serves over 100 insurance carriers and providers, more than 2,500 distribution partners, and connects with over 500,000 agents and advisors globally.
iPipeline offers a comprehensive suite of cloud-based software solutions designed to simplify and accelerate operations, including tools for quoting, e-application, underwriting, e-delivery, e-signature, and data analytics. However, as the platform expanded, maintaining speed and quality became increasingly challenging.
The company faced several systemic barriers that constrained its growth and ability to scale.
- Manual-Heavy Testing Cycles: Extensive reliance on manual testing slowed development and created bottlenecks in release cycles.
- Long Regression Cycles: Regression testing took weeks, delaying time-to-market for new features.
- Production Defect Leakage: Limited test coverage and inefficiencies allowed defects to reach production, impacting customer trust.
- Resource Constraints: Scaling QA efforts required significant manual effort, limiting efficiency gains.
- Rising Complexity and Expectations: Expanding product capabilities demanded higher coverage, scalability, and repeatability.
- Executive Demand for Measurable ROI: Leadership required clear, data-driven improvements in efficiency and quality.
To sustain growth and maintain its leadership position, iPipeline needed a fundamental shift in how quality was engineered across the organization.
From Manual Testing to an AI-Driven, Automation-First Model
KMS partnered with iPipeline as a strategic engineering partner to transform its Quality Engineering practice, emphasizing automation, scalability, and measurable business impact.
1. Establishing an Automation-First Foundation
KMS guided iPipeline through a structured evolution from manual testing to a hybrid approach, and ultimately to a fully automation-first model embedded across the SDLC. By implementing the Katalon platform and prioritizing high-impact areas, the team automated more than 2,500 critical test cases and built scalable regression suites that could support continuous delivery.
The shift reduced reliance on manual processes and introduced a level of consistency and repeatability that was previously unattainable. Testing became faster, more reliable, and significantly more aligned with modern engineering practices.
2. Leveraging AI to Accelerate Quality Engineering
To move beyond traditional automation, KMS introduced AI-driven capabilities that enhanced how tests were created, executed, and optimized. By analyzing real-world user interactions, the team was able to prioritize high-value scenarios and shift from purely functional validation to business assurance.
Our approach enabled faster automation development while continuously improving test coverage and scalability. Over time, testing became more intelligent and adaptive, evolving alongside user behavior and product complexity.
3. Enabling a Fully Integrated, Data-Driven QA Ecosystem
KMS aligned Quality Engineering with DevOps and product teams, embedding automation and reporting directly into the delivery pipeline. This integration created a unified system where testing was no longer a separate phase, but an integral part of continuous delivery.
Automation became the default approach, supported by real-time metrics that provided clear visibility into release readiness. As a result, teams could make faster, more informed decisions while maintaining a high standard of quality. iPipeline was also able to shift their focus toward higher-value work, including advanced automation and continuous improvement initiatives.
4. Driving a Cultural Transformation Around Quality
Beyond technology, KMS helped iPipeline implement a cultural shift toward modern Quality Engineering practices. This transformation emphasized stronger collaboration across teams and a shared responsibility for quality throughout the development lifecycle.
By aligning people, processes, and tools around a common vision, KMS enabled iPipeline to move from reactive testing to proactive quality engineering. The cultural foundation ensured that improvements were not only implemented but sustained over time.
Enabling Faster and Stronger Innovations
Through its partnership with KMS Technology, iPipeline successfully evolved its Quality Engineering function into a scalable, automation-first, and AI-driven capability.
By reducing testing cycles by up to 75%, iPipeline compressed release timelines from weeks into hours, enabling faster delivery of new features and a more responsive product organization. At the same time, achieving 90–95% automation coverage allowed teams to validate complex workflows at scale, removing testing as a bottleneck to growth. The 60% reduction in production defect leakage further strengthened product reliability and customer trust, while real-time, data-driven insights into test coverage and release readiness gave leadership clear visibility into quality outcomes and ROI.
The transformation not only improved efficiency and reduced costs but also gave the organization the confidence to release faster, innovate continuously, and meet the growing demands of the insurance technology market.
KMS continues to serve as a trusted partner, helping iPipeline turn quality engineering into a strategic advantage that drives long-term growth and competitive differentiation.
Ready to build a mature, AI-ready testing process? Contact us today!