FINANCE (AI-DRIVEN WEALTH PLANNING) CASE STUDY
Cut release cycle time by 50% for a European fintech product team
We implemented Playwright automated testing to replace manual regression and ship consistent, high-quality releases.
50% faster releases
40% fewer defects
95% defect-free releases
Finance (AI-driven wealth planning) Case Study
THE CHALLENGE
What was holding them back
Manual testing slowed releases
and blocked iteration.
Inconsistent results increased defects
and customer complaints.
Existing approach did not
scale with product complexity.
CLIENT SNAPSHOT
About the client
Industry
Finance (AI-driven wealth planning)
Geography
Europe (Italy)
Service
QA & Test Automation
Existing Tools
Manual regression testing + inconsistent checklists
THE SOLUTION
Our Finance (AI-driven wealth planning) Solution
Regression Suite Rebuild
- Converted critical user journeys into repeatable E2E tests.
- Prioritized goal planning, assets, liabilities, and flows.
Cross-Browser and Stability Hardening
- Standardized selectors, waits, and test data patterns.
- Reduced flaky tests with reliability-first scripting rules.
CI Release Gates and Automation
- Wired Playwright runs into the release pipeline.
- Added pass/fail gates to prevent risky deployments.
Coverage Strategy for Real User Risk
- Mapped tests to high-impact customer scenarios.
- Focused on revenue-critical and complaint-heavy areas.
Reporting and Faster Debug Cycles
- Clear test reports for quick root-cause isolation.
- Faster QA feedback loop for developers and PMs.
THE IMPACT
Measurable Results
50%
Speed
faster release cycles with automated regression
40%
Quality
fewer defects reaching production customers
95%
Quality
defect-free releases across core journeys
99%
Reliability
consistent CI runs with reduced flakiness (benchmark)
✓
Coverage: 80%+ regression coverage for critical paths (benchmark)
✓
Time to value: 14 days to measurable QA impact (benchmark)
TECH STACK
Technologies Used
Playwright
CI pipelines
