Automating 1,000+ Payment Test Cases to Unlock Faster, Safer Releases

Customer Snapshot

Industry: Payments & FinTech (BFSI)

Region: South Africa

Platform: PayFast (core payment services and APIs)

Engagement Model:

• Scrums.com Plan: Enterprise
• QA Automation
• QA as a Service (QAaaS)
• AI Agents
• SEOP (Software Engineering Orchestration Platform)

The Challenge

Following a comprehensive engineering and DevOps health check, the payments platform identified manual QA and regression testing as a major constraint on delivery speed, reliability, and engineering productivity.

Key challenges included:

Manual regression at scale

• 1,000+ test cases executed manually
• Regression cycles spanning weeks to months
• Heavy reliance on specialist QA knowledge
• Slow feedback loops for developers

Release risk & change friction

• Limited confidence in deployments
• Bugs escaping into later test stages
• High coordination overhead between QA and engineering
• Conservative release strategies to avoid outages

Legacy & compliance constraints

• Legacy and unstructured codebases
• Multiple APIs and Lambda-based services
• PCI DSS requirements increasing QA overhead
• Automation needed to be secure, auditable, and compliant

Team productivity & knowledge risk

• Long onboarding times for new engineers and QAs
• QA knowledge concentrated in individuals
• Limited visibility for leadership into QA effectiveness and trends

The Goal

• Reduce regression testing time dramatically
• Increase confidence in deployments
• Enable more frequent, safer releases
• Remove QA as a delivery bottleneck
• Upskill internal QA teams toward automation-first practices
• Maintain full PCI compliance and auditability

Scrums.com Solution

Scrums.com delivered a phased QA Automation Transformation, combining people, process, tooling, and AI - treating automation as a delivery capability, not just a tooling exercise.

Key components included:

QA automation pilot

• Deployed a dedicated QA automation squad
• Connected AI-powered tooling to existing repositories
• Identified high-impact regression flows
• Automated the first 50–100 priority test cases
• Established baseline QA and delivery metrics

Scaled automation rollout

• Expanded automation coverage to 300+ test cases
• Embedded automated regression into CI/CD pipelines
• Introduced AI agents to assist with: Test case generation, Documentation, Code and test review, and Delivered hands-on training to internal QA teams

Enterprise-scale automation

• Scaled automation coverage toward 1,000+ test cases
• Introduced autonomous test generation for new features
• Standardized QA practices across teams
• Embedded real-time dashboards showing: Regression duration, Defect trends, DORA-aligned delivery indicators, and Ensured PCI-compliant execution with audit trails and controlled access

Results

• Regression testing reduced from weeks to hours
• Significant increase in defects caught pre-production
• Improved release confidence and deployment frequency
• Reduced dependency on manual QA execution
• Faster onboarding of engineers and QA team members
• Clear, data-driven visibility into quality and delivery health

QA shifted from being a release bottleneck to a delivery enabler - supporting faster change without increasing operational or compliance risk.

Why This Matters

For regulated FinTech platforms, speed without quality creates risk.

This engagement enabled the client to:

• Deliver faster without sacrificing compliance
• Reduce change risk through automation and AI
• Retain and upskill internal QA talent
• Make quality measurable, visible, and predictable
• Turn QA into a strategic advantage rather than a constraint

Automating QA isn’t about writing more tests

It’s about unlocking faster, safer delivery at scale. Scrums.com helps FinTech and regulated platforms transform QA into a competitive advantage using automation, AI, and real engineering expertise.

👉 Book a QA Automation Assessment