Driving QA Transformation with AI Agents

Overview

A leading African payment provider struggled with 3-month regression cycles, 1,000+ manual test cases, and onboarding delays that stalled innovation. Scrums.com transformed their QA through automation, AI agents, and analytics, turning QA into a competitive advantage.

The Challenge: QA as a Growth Barrier

Key issues included:

• Regression testing: 3+ months
• Engineer onboarding: 3 months
• Manual coverage: < 10%
• PCI DSS compliance overheads
• Poor leadership visibility into release health

These challenges made every release high-risk and limited the firm’s ability to innovate in a fast-moving payments industry.

The Solution: A Holistic QA Transformation

Scrums.com’s approach combined three pillars:

1. QA as a Service

• Automated regression coverage using Playwright, Robot, Appium
• CI/CD pipeline integration
• Dashboards + reports via Qase and Datadog

2. AI Agents + Windsurf IDE

• Discovery Agent: Auto-generated docs and test cases
• Review Agent: Pre-commit code checks for standards + quality
• Windsurf IDE Plugin: Context-sharing to slash onboarding time

3. Developer Analytics

• Real-time DORA metrics for leadership insight
• PCI-aligned logging embedded into pipelines

Implementation Roadmap

• Pilot (4 weeks): 50–100 critical cases automated + baseline analytics
• Rollout (3 months): 500+ cases automated, QA team upskilled
• Optimization: Expanded to >70% coverage, PCI guardrails, ongoing agent adoption

Results: Measurable Impact

Strategic Outcomes

• Faster releases → faster revenue impact
• Higher developer morale + productivity
• Reduced compliance overheads
• QA shifted from gatekeeper to driver of continuous improvement

Conclusion

By embedding automation, AI, and analytics, Scrums.com transformed QA into a strategic enabler.

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👉 Ready to modernize QA?

Book a consultation today and cut regression cycles from months to hours.