Scenario generation
Cover positive, negative, edge, regression, and journey-critical behavior.
Automated Functional Testing
Move from approved behavior to executable confidence.
Generate risk-aware scenarios, detailed test cases, API and UI automation, isolated executions, and evidence-linked diagnosis across web, mobile, and services.
Webbrowser journey validation
APIcontract and service behavior
Mobilenative and cross-platform flows
Capabilities
A complete working system, not an isolated generator.
Test case design
Define preconditions, data, steps, assertions, and cleanup with lineage.
Automation generation
Create reviewable API and UI assets against approved framework contracts.
Locator intelligence
Prioritize stable semantics and retain evidence for healing decisions.
Regression optimization
Select impacted coverage using change, risk, and execution evidence.
Failure analysis
Correlate assertions, traces, logs, screenshots, and prior failures.
Operating flow
Every stage is visible and reviewable.
Inputs, decisions, evidence, findings, approvals, and artifacts remain available throughout the workflow.
Scope
Select approved requirements, journeys, and risks.
Design
Generate scenarios, cases, and test data needs.
Critique
Measure gaps, overlap, and assertion quality.
Automate
Build framework-aligned scripts and fixtures.
Execute
Run in isolated, policy-approved environments.
Analyze
Cluster failures and publish grounded findings.
How it fits
Connected to the wider quality lifecycle.
This capability works with shared project context, accountable decisions, and traceable evidence from source through outcome.
01Quality scope: Requirements, journeys, risk, and release change.
02Design agent: Scenario, case, data, and coverage skills.
03Automation agent: Framework detection and script generation.
01Quality scope
Requirements, journeys, risk, and release change.
02Design agent
Scenario, case, data, and coverage skills.
03Automation agent
Framework detection and script generation.
04Execution fabric
Isolated runners with evidence capture.
05Analysis
Failure clustering, defect drafts, and release signals.
Engineering outcomes
What this changes for delivery teams.
Traceability from intent to every assertion
Reviewable automation instead of opaque code generation
Smaller, risk-focused regression packs
Evidence-rich diagnosis after every run
Working session
Explore Automated Functional Testing with your own delivery context.
Bring one requirement set, workflow, or performance concern. We will map the governed path from source to executable evidence.