- On this page:
- Overview
- The challenge
- The solution
- The outcome
How a leading South African microfinance provider accelerated quality assurance with low-code, AI-driven test automation
A leading microfinance organisation manages complex loan origination and disbursement processes across multiple systems. As lending volumes grew, reliance on manual testing made it increasingly difficult to keep pace with application changes and release demands.
Traditional test automation also presented challenges. Automated scripts could become brittle when applications changed, while traditional frameworks required specialist skills and ongoing maintenance.
The organisation needed a more scalable approach to QA that could improve regression testing.
The challenge
The organisation’s loan origination and disbursement processes involved multiple systems and interconnected workflows. Every change to these applications needed to be tested carefully to ensure that existing functionality continued to work as expected.
As the environment became more complex, manual regression testing required increasing amounts of time and effort. At the same time, maintaining traditional automated tests created its own challenges when application changes caused scripts to fail.
Key challenges included:
- High levels of manual effort across repetitive regression testing
- Increasing complexity across integrated loan workflows
- Long regression cycles slowing releases
- Automated tests becoming unstable when applications changed
- Specialist skills required to maintain traditional automation
- The need for consistent and traceable testing of critical lending processes
The solution
Expleo introduced ExpleoTeresa, a low-code, AI-driven test automation solution, through a proof of concept.
The proof of concept automated critical loan origination and disbursement journeys. Unlike traditional approaches that rely heavily on scripting and complex frameworks, ExpleoTeresa uses low-code automation to simplify test creation and maintenance.
A key capability is intelligent self-healing. When application changes affect an automated test, the solution can adapt, helping reduce test failures and maintenance effort.
The solution also supported:
- End-to-end regression testing
- Dynamic handling of one-time passwords (OTPs)
- Automated back-end and database validation
- Reusable, dynamic test data
- Intelligent test execution to reduce instability
- Rapid deployment with minimal disruption
The outcome
The proof of concept demonstrated that low-code, AI-driven test automation could support complex, multi-system lending workflows while reducing traditional automation challenges.
Key Outcomes:
- Increased automation coverage
- Reduced manual effort across repetitive testing
- More consistent and repeatable regression testing
- Lower maintenance requirements
- Improved test stability when applications change
- Greater confidence in releases
- Reduced dependence on specialist automation skills
Specific performance metrics, including regression time reduction, automation coverage and maintenance savings, are not publicly disclosed for this engagement.
Could a Similar Approach Work for Your Team?
ExpleoTeresa combines low-code automation with AI-driven capabilities designed to simplify test creation, execution and maintenance.
For financial services organisations managing complex lending systems and business-critical applications, it can help scale QA while supporting consistent and reliable regression testing.
To learn more about ExpleoTeresa and how Expleo can support your test automation journey, contact the Expleo team.