Marketplace – AI-Driven Test Automation for API & UI TestingFinance
Our client, a leading retail mortgage lender, was constrained by time-intensive manual API and UI regression processes that limited testing frequency and delayed product feedback.
Success Highlights
- Rapid Testing at Scale: – Massive time savings and increased coverage without increasing QA headcount.
- Reduced Production Defects: – Prevention of critical leakage.
- Shift-Left Enablement: – Developers could trigger validations in CI/CD, reducing QA bottlenecks.
Key Details
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Industry: Financial Services
Business Challenge
Our client, a leading retail mortgage lender, was constrained by time-intensive manual API and UI regression processes that limited testing frequency and delayed product feedback.
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Time-Consuming Manual API & UI Regression: Manual API regression for just 21 endpoints took 4–12 hours, limiting regression frequency.
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UI testing required manual scripting and high maintenance, slowing feedback loops.
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Limited Automation Framework: No unified API/UI test automation framework existed for endpoint-level, schema, and visual validations.
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High QA Effort & Delayed Feedback: Testing cycles consumed significant QA bandwidth, delaying releases and defect detection.
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Inability to Quickly Track Stability: No automated health checks to proactively track API and UI stability across builds.
Our Solution Approach
We implemented a comprehensive strategy to address the challenges.
API Testing
UI Testing
Business Outcomes
Our engagement delivered measurable business impact.
Massive time savings and increased coverage without increasing QA headcount.
Prevention of critical leakage.
Developers could trigger validations in CI/CD, reducing QA bottlenecks.
AI-assisted test generation ensured consistent, reusable, and maintainable scripts.
Metric / CapabilityBeforeAfter AI-Driven AutomationAPI Regression Execution Time2 hours for 21 endpoints< 2 minutes for 41 endpointsRegression FrequencyInfrequent, manual onlyDaily automated runsUI Test DevelopmentManual scriptingAI-generated test cases & dataQA Bandwidth UsageHighMinimal (shift-left to developers)Defect Detection TimeLate in cycleEarly in developmentStability TrackingNot possibleReal-time health checks (API & UI)