Case study

The release was already approved. QASolve still found 24 hidden issues.

240 automated regression tests created in 30 days for a newly rewritten Node.js platform.

RELEASE APPROVED
Internal QA Sign-Off
QASOLVE VALIDATION
Comprehensive Automation
24 HIDDEN ISSUES FOUND
After QA Sign-Off
24
HIDDEN ISSUES
FOUND
After QA Sign-Off

Confidence Gap

Even after a through internal QA, Critical issues can remain hidden in complex applications.

INTERNAL QA CONFIDENCE

Release Approved
100%
VS

QASOLVE VALIDATION

24 Defects Found
Low-lift engagement
Staging Access
No Source Code
No Test Scripts
Weekly Check-ins
Automated tests delivered
240
regression tests across key workflows
Issues uncovered
24
hidden findings after QA sign-off
Time to coverage
30
days to reusable regression baseline
Client lift
LOW
no code, no scripts, managed review
The transformation Journey

From internal QA sign-off to deeper release confidence

QASolve rapidly created executable regression coverage and surfaced workflow defects that were not caught through existing validation.
1

Node.js Rewrite

Wyebot had rewritten the product on a modern Node.js stack and needed deeper regression confidence.

2

QA Sign-off

The build had already been reviewed and signed off through internal QA processes.

3

AI Discovery

QASolve agents discovered key workflows, states, forms, and actions directly through the application.

4

Regression Build

QASolve generated 240 automated regression tests in 30 days, with managed failure triage.

5

Defect Discovery

Execution uncovered 24 hidden issues and created a foundation for ongoing regression validation.

From known-scenario validation to scalable behavioral coverage

QASolve helped Wyebot move beyond manual or known-path validation into broader workflow discovery, edge-case coverage, and repeatable test execution.

Problem
  • Regression testing had reverted to manual validation across Core workflows
  • Prior Selenium-based automation had been abandoned due to high maintenance cost and effort
  • Some issues were only discoverable through deeper end-to-end behavioral validation
  • Existing coverage could miss hidden workflow defects outside known scenarios
  • Expanding coverage manually would require additional QA time and capacity
Intervention
  • Kicked off with a single product demo — no code, specs, or test scripts required
  • Engagement was non-intrusive, with weekly check-ins to review findings and priorities
  • In 3 weeks, QASolve delivered 400+ automated regression tests
  • Validated positive, negative, and edge-case behaviors
  • Provided detailed issue reports with reproducible steps for engineering review
Measurable Outcomes
  • Created a reusable regression suite for ongoing release validation
  • Uncovered 20+ previously unknown issues
  • Client confirmed several findings were already present in production
  • Improved visibility into real workflow risk before future releases
  • Established a scalable foundation for continuous regression coverage
THE PROBLEM

Troubleshooting Was Reactive

  • Wyebot had recentlyrewritten the product using the latest Node.js stack
  • The new build had already been signed off by internal QA
  • Existing validation relied heavily on known scenarios and internal QA coverage
  • Complex telemetry, admin, and configuration workflows created risk of hidden defects
  • Expanding regression coverage manually would require additional QA time and maintenance
THE INTERVENTION

AI-Powered Network Visibility

  • Performed AI-driven discovery across key Wyebot workflows
  • No source code, specs, or existing test scripts were required
  • Built a behavioral model / knowledge graph of the application
  • Generated automated regression coverage from discovered workflows
  • Validated positive, negative, and edge-case behaviors
  • Reviewed failures through a managed human-in-the-loop process
THE OUTCOMES

Faster Resolution, Better Performance

  • Delivered 240 automated regression tests in 30 days
  • Uncovered 24 issues on a build already signed off by internal QA
  • Improved visibility into hidden workflow and regression risk
  • Helped validate the rewritten Node.js product against real application behavior
  • Established a reusable regression harness for future releases

QASolve helped us validate a major product rewrite with a much deeper regression lens. In 30 days, the team delivered 240 automated tests and uncovered 24 issues even after internal QA sign-off, giving us stronger confidence in the product before future releases

Anil Gupta

Anil Gupta

Chief Technology Officer