From ready-to-test ticket to release decision.
One chain that understands your requirements, designs the tests, automates them, runs them, analyses the results and maintains them. It stops twice for a human decision.
What goes in, what happens, what comes out.
TuringOne reads the context you already have. Your team doesn't have to describe the application again.
Your inputs
The agentic factory
What you get
What the agents do. Where you stay in control.
Design
Test scenarios derived from the ticket and its full context.
What the agents do
Read the story, specs, existing cases and data structures without modifying them; propose scenarios covering normal, edge and negative paths; flag gaps in existing coverage.
Where you stay in control
Gate 1: QA reviews and approves the cases. Nothing is automated until a human says yes.
Automation
Approved cases become executable tests in your framework.
What the agents do
Generate test code that follows your conventions, map the screen elements, build the data each scenario needs, and review the code automatically before anything is proposed.
Where you stay in control
Test code is reviewed before it is merged. Your repository, your rules.
Execution
UI, API, end-to-end, regression and data tests run where they already run.
What the agents do
Trigger runs in your pipeline, use credentials only at run time, and apply scoped self-healing when a locator or an endpoint changed.
Where you stay in control
Repaired tests are replayed separately and only reach the main suite after review.
Analysis
Every failure is qualified and every run produces a quality report.
What the agents do
Decide whether the test or the application is at fault, draft a defect ticket with evidence, evaluate every output, and compile indicators and open risks.
Where you stay in control
Defects are validated before a ticket is opened. Gate 2: the QA lead decides on the release.
Self-heal. Replay. Revalidate. Then stop.
When a test fails for reasons on the test side, the chain tries to repair it within strict limits. When the retry limit is reached, a human takes over. No endless loops, no silent green.
- QualifyIs it the test or the application? Application issues go to analysis, not to healing.
- Repair in scopeLocators, waits, endpoint paths. Never assertions or business steps.
- Replay & revalidateRun again separately; the repair is evaluated and scored.
- Escalate at the limitLow confidence or retry limit reached: a tester takes over.
What your team's week looks like.
Before
- Read the story, write cases from scratch
- Wait for automation capacity, or skip regression
- Build test data by hand for each cycle
- Fix dozens of broken locators after a UI release
- Spend the morning triaging a red pipeline
- Make the release call on a partial dashboard
With TuringOne
- Review drafted scenarios and approve them at Gate 1
- Approved cases become tests in your framework
- Test data generated automatically
- Review a small, scored repair instead
- Open qualified failures, test side or application side, with evidence
- Decide at Gate 2 on a full quality report, on record
Want to see the chain on one of your tickets?
One end-to-end scope, 10 to 20 scenarios reviewed with your team, 1 to 3 weeks, indicators measured before and after. Three decisions are enough to start.