One orchestrator. A connected quality lifecycle.
VerifyStack.ai is designed to coordinate the people, agents and evidence involved in quality engineering, from the first requirement through a verified fix.
How the platform is organized
Explore the engines and the work they hand off to the next stage.
01Agentic Quality Orchestrator
Routes tasks, coordinates specialist agents and tracks each handoff.
02Requirements Analysis Engine
Extracts acceptance criteria, constraints and ambiguities.
03Quality Planning Engine
Prioritizes coverage by risk and expected impact.
04Test Design Engine
Builds cases and maps them to requirements.
05Test Authoring Engine
Generates scripts and assets for review.
06Execution Management
Schedules approved runs and captures evidence.
07Failure Diagnosis
Links failures to evidence and identifies likely causes.
08Fixer and Repository Integration
Proposes a patch and applies it to an isolated branch after approval.
09Pull Request Management
Packages the verified diff and its evidence for review.
10Governance and Reporting
Records scope, approval decisions and traceability.
From automated scripts to coordinated decisions
| Activity | Traditional automation | Agentic quality engineering vision |
|---|---|---|
| Coverage | Run predefined scripts | Derive cases from requirements and risk |
| Diagnosis | Report failures | Connect findings with traces and acceptance criteria |
| Remediation | Hand off defects for investigation | Prepare a patch and require explicit approval |
| Evidence | Collect test results | Link results, approvals and changes to requirements |
Explore the full workflow
Requirements intake
Quality OrchestratorCapture a requirement, acceptance criteria and scope.
Ready to transform your quality engineering?
Explore how a governed, agentic workflow could fit your delivery process.