AI-powered QA that cut test cycles while slashing production bugs by 40%
Product Engineering
The
Overview
An enterprise CRM provider was trapped by slow, inconsistent QA cycles. Wishtree modernized their QA approach, deploying AI test generators, real device testing, and full regression automation.
Problem
Statement
The client’s QA process could not keep up with development velocity. They needed a modern, automated approach that delivered speed without sacrificing quality.
Highlights
100%
Regression automation
7→2
Reducing the number of days in test cycles
40%
Fewer critical bugs
Consistent, repeatable results
Enterprise-grade CRM
Faster, safer releases
Agentic AI refers to autonomous, goal-driven software agents that act with
limited human input to optimize specific goals like pricing, forecast demand,
and detect fraud in real time.
About Client
An enterprise CRM platform used by thousands of businesses worldwide. With complex workflows, frequent releases, and high customer expectations, QA was a constant bottleneck.
- Each test cycle took 7 full days and releases were constantly delayed.
- Manual testing results varied wildly between testers.
- Critical bugs reached production despite lengthy testing.
- Regression testing was manual and spotty.
- Real device testing was limited.
- QA teams were burned out from repetitive manual work.
- Deployed AI test generators that automatically create and maintain test cases based on user behavior and code changes.
- Integrated real device testing farms covering thousands of device-browser combinations to catch platform-specific issues.
- Built comprehensive regression automation for all core business flows.
- Implemented parallel test execution.
- Established nightly test runs with automatic reporting.
- Created a centralized test dashboard with trend analysis, flaky test detection, and quality metrics.
- Trained QA team to focus on exploratory testing and complex scenarios while automation handled regression.
- AI test generators analyze production user sessions to understand how real customers use the CRM, then create tests that mirror actual behavior.
- When code changes, AI identifies which existing tests are most relevant and suggests new ones to cover impacted areas.
- Flaky test detection automatically identifies unreliable tests and suggests fixes.
- Test results are analyzed for patterns, helping the team predict where bugs are most likely to appear in future releases.
Core Features
AI test generators
Real device testing
Parallel test execution
Nightly test runs
Flaky test detection
Impact
- 70% faster releases
- 40% reduction in critical production bugs
- 100% regression test automation
- Consistent, repeatable test results
- Developers get quality feedback overnight
- Customer trust restored with reliable, bug-free releases
Why Wishtree
Wishtree modernizes QA for complex enterprise applications. We combine AI-powered test automation, real device coverage, and intelligent analytics to deliver faster, more reliable releases.
For this enterprise CRM client, we:
- Cut test cycles by 70% with AI-augmented automation
- Slashed production bugs by 40% through comprehensive coverage
- Achieved 100% regression automation on core business flows
- Freed QA teams to focus on high-value exploratory testing