Steering & standards

Scale quality across teams, without scaling headcount.

One governed chain, the same gates and the same indicators in every team, while each team keeps its own tools.

The questions you are asked

And the answers TuringOne gives you.

“Why does every team test differently?”

One standard chain

Same four stages, same two gates, same evidence everywhere. Teams keep their frameworks; the way of working becomes consistent.

“Can QA keep up with delivery?”

Capacity without hiring

Design, automation, data, maintenance and triage are handled by agents. People move to reviewing and deciding.

“How good is our quality, really?”

Indicators you can report

Time to automate, regression automated, triage time, healing precision, false positives, cost per test. Measured, not estimated.

“Can we trust AI with this?”

Governance by design

Human gates, full traceability, versioned instructions, rollback per agent and an automatic evaluation of every output.

“When will product get feedback?”

A shorter path to release

Ready-to-test tickets move through design, automation, execution and analysis without waiting for capacity.

“Will teams adopt it?”

No disruption

No new runner, no migration. Tests land in the frameworks and pipelines teams already use.

Roll-out

Prove it on one scope. Then extend.

Start with one end-to-end scope and one QA team. The pilot ends with a before/after report, a skills transfer and an extension plan for the next teams.

How the pilot works
  1. BaselineMeasure your current indicators on one scope.
  2. PilotRun the full chain with both gates in your pipeline.
  3. ReportBefore/after on the same indicators.
  4. ExtendSkills transfer and a plan for the next teams.
Evaluation checklist

What to check in any agentic testing solution.

Use it with us, and with anyone else you are evaluating.

QuestionTuringOne
Can healing change assertions or expected values?Never, locked by design
Where do humans approve?Before automation and before release
Do tests run without the vendor?Yes, in your framework
Is data anonymised before AI calls?Before every call
Are results measured on your scope?Before and after, in every pilot
Can a bad agent change be undone?Rollback per agent, versioned instructions
Next step

Pick one scope. We'll measure the difference.

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.