Get the sprint back. Keep the final word.
Agents take the repetitive work: drafting cases, writing scripts, preparing data, fixing locators, reading logs. Your team approves the cases and decides the release.
Six moments of the week, before and after.
Test design
Today
Cases written by hand as stories change, often incomplete.
With TuringOne
Scenarios drafted from the ticket and its context; the team reviews and approves them at Gate 1.
Automation
Today
An automation backlog that grows every sprint.
With TuringOne
Approved cases automated in your framework, ready to run.
Test data
Today
Data prepared by hand for every cycle.
With TuringOne
Data generated automatically for each scenario.
Maintenance
Today
Dozens of broken tests after each UI or API release.
With TuringOne
Scoped repairs you review as a small change; assertions never touched.
Failure triage
Today
Mornings lost reading logs to find out if it is a real bug.
With TuringOne
Each failure arrives qualified, test side or application side, with evidence and a drafted ticket.
Release decision
Today
“Can we ship?” answered with partial evidence.
With TuringOne
A quality report, indicators and open risks; the decision is recorded at Gate 2.
You stay the quality owner.
Your judgement
Nothing is automated before cases are approved. Nothing ships without a human decision.
Your tools
Your framework, your pipeline, your tracker. No proprietary runner to learn or migrate to.
Your standards
Assertions are locked. No agent can make a test pass by weakening it.
Making the case internally?
Here is a short message you can adapt and forward to your management. It covers what decision makers ask about: control, risk, cost and proof.
I would like us to run a short pilot with TuringOne on one of our applications. It is an agentic quality engineering platform: it takes ready-to-test tickets and designs, automates, runs and analyses the tests inside our own framework and pipeline. Our QA team keeps control through two gates: we approve the test cases, and we decide the release. Data stays protected (read-only access, anonymised before any AI call, EU or in-house models) and the generated tests keep running without the tool, so there is no lock-in. The pilot takes 1 to 3 weeks on one scope, with 10 to 20 scenarios reviewed by us and our indicators measured before and after. To start, we only need to agree on the scope, a QA lead on our side and a date for a half-day framing workshop.
Questions you will be asked, and where to point
- “Who keeps control?” Governance
- “Will it fit our tools?” Platform
- “What is the return?” Business impact & risk
- “How long, how much effort?” The pilot
- “What if the AI breaks our tests?” Self-healing rules
Bring one ticket. We'll show you the chain.
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.