Beyond Manual: QA Transformation with AI Agents

The Speed–Reliability Dilemma in Payments

In digital payments, innovation is a balancing act between speed and reliability. Manual QA processes often stretch release cycles into months and increase risk.

For one of Africa’s largest payment providers, a backlog of 1,000+ manual test cases and 3-month regression cycles stalled innovation and jeopardized their competitive edge.

The Problem: QA as a Bottleneck

Manual testing is slow, error-prone, and costly. This client’s situation was worsened by:

• A complex, multilingual legacy codebase
• PCI DSS compliance requirements
• 3-month onboarding times for new engineers
• Leadership’s limited release visibility

Inefficient QA not only delays delivery but also drives up defect rates.

Our Solution: A Holistic QA Transformation

Scrums.com introduced a program blending:

• QA as a Service → Automation via Playwright, Appium, Robot + dedicated engineers
• AI Agents → Discovery Agent (auto-docs/tests), Review Agent (pre-commit checks), Windsurf IDE plugin (faster onboarding)
• Developer Analytics → Real-time DORA metrics with Qase + Datadog dashboards

Results: From Months to Hours

• Regression Testing: 3 months → 3 hours
• Onboarding: 3 months → under 2 weeks
• Coverage: 10% → 70%+ in 3 months
• Defects: ↓60% in production bugs

📊 Explore the detailed roadmap and outcomes here: Read the Case Study: Driving QA Transformation with AI Agents

A New Chapter for QA Teams

This wasn’t a technical tweak, it was a strategic shift. QA became a driver of innovation, not a bottleneck.

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👉 Still stuck with manual QA?

Book a consultation with Scrums.com and cut regression cycles from months to hours.