In a digital era defined by real-time products and increasingly complex regulatory demands, quality assurance (QA) can no longer be an afterthought. For product managers, ensuring compliance at scale—without sacrificing speed or innovation—is one of the most formidable challenges. At Coligo, our AI QA & Compliance solutions have redefined how businesses approach this intersection of quality and agility. In this case study, we reveal how one of EMEA’s fastest-growing fintechs partnered with Coligo to achieve breakthrough results, inspiring a blueprint for operational excellence in the digital age.
1. Understand the Strategic Importance of AI QA & Compliance
Quality assurance is no longer tethered just to post-development testing; it’s a continuous, intelligent process that must be embedded throughout the product lifecycle. For our client—a rising fintech offering instant payment solutions across multiple jurisdictions—the stakes were high. Inaccurate user flows, inconsistent localization, or regulatory gaps could result not only in customer churn but substantial financial penalties.
Coligo’s AI QA & Compliance framework enabled complete task automation across functional, regression, and compliance domains. By applying machine learning algorithms to historical test data, user behavior, and compliance schemas, the client could orchestrate QA processes at a scale and speed unattainable by manual methods.
2. Automate Continuous Compliance from Day Zero
Traditional compliance audits often occur too late in the lifecycle to rectify systemic errors without disrupting delivery schedules. Our client needed an approach where compliance was proactively engineered from day zero.
Using Coligo’s compliance-as-code methodology, the company integrated regulatory requirements directly into their CI/CD pipelines. This ensured that every new feature deployment was automatically checked against changing local regulations. As a result, the client saw a 70% reduction in post-deployment compliance incidents during the first quarter after implementation.
3. Use AI to Monitor QA Coverage and Predict Risk Areas
One of the key transformational shifts enabled by our platform was the move from reactive to predictive quality management. By using AI to continuously scan for untested flows, underperforming modules, and high-risk regression zones, the client’s QA teams could dynamically allocate resources to where they were needed most.
This led to:
- 25% faster time-to-market for new releases
- 99.9% end-to-end QA accuracy measured across platforms
- 30% budget optimization in overall QA operations
4. Scale QA Across Environments Without Scaling Costs
As the fintech expanded operations into new markets, its product suite had to be tested across multiple device ecosystems, currencies, languages, and regulatory zones. Scaling traditionally would have required a proportionate increase in QA headcount and infrastructure.
With Coligo’s AI-driven test virtualization, the company could instantly simulate user journeys across environments, leveraging real-world data and synthetic conditions. This reduced the need for physical device testing and allowed for parallelized, rapid iterations without increasing operational overhead.
5. Empower Product Teams with Real-Time Compliance Dashboards
Visibility is power—especially for product leaders driving high-velocity teams. By integrating Coligo’s compliance dashboards into their product development workflow, product managers, analysts, and engineers could make informed decisions with precision.
These dashboards delivered:
- Live warnings on potential compliance drifts
- Automated audit trails linked to product releases
- Cross-functional insights into QA bottlenecks and user feedback signals
The result? Clearer alignment between product strategy and execution, backed by data and compliance assurance.
6. Create a Culture of Digital Assurance
Perhaps the most enduring outcome of this engagement was cultural. With the confidence that comes from robust automation and compliance intelligence, the client’s product teams started making bolder bets—deploying experimental features, testing new user segments, and iterating faster.
Coligo’s AI QA & Compliance solution didn’t just fix problems—it empowered innovation. The organization shifted from a reactive stance to a proactive, digitally assured mindset, paving the way for continuous innovation in a regulated environment.
Conclusion: From Complexity to Clarity
As digital ecosystems grow more intricate, the margin for QA and compliance error shrinks. Coligo’s AI QA & Compliance platform proved to be a catalytic force for one fintech leader, facilitating growth without sacrificing rigor. For product managers navigating similar challenges, this case offers a tried-and-tested framework for achieving both operational excellence and regulatory peace of mind.
Ready to see the transformation in action? Watch the full video to explore how Coligo’s expertise is reshaping the future of QA and compliance in the digital financial landscape.
