Autopilot, with control

Autopilot is the autonomous testing layer: it does the work inside the boundaries your team sets.

What Autopilot does

Autopilot takes approved coverage into connected environments, executes the selected journeys, and brings back status and evidence for review. It is built to reduce repetitive coordination without hiding what happened.

Controls before a run

A governed run starts with a clear operating envelope:

  • Scope: the suites, journeys, environments, and timing that are in bounds.
  • Approvals: the actions or checkpoints that need a person before the run continues.
  • Failure policy: what can be retried, what should pause, and what must be escalated.
  • Evidence: the artifacts and status your team needs to review the outcome.
  • Ownership: the person or team responsible for exceptions and the release decision.

During and after execution

  1. Run. Autopilot works through the approved coverage in the connected environment.
  2. Observe. Status shows what is in progress, complete, blocked, or needs attention.
  3. Pause when needed. Configured controls and exceptions keep uncertain work from silently moving forward.
  4. Review evidence. Use the result and failure context to decide whether to fix, rerun, expand coverage, or release.

What Autopilot does not decide

Autopilot does not replace product ownership or release accountability. It does not turn an ambiguous requirement into an unquestionable truth, and it should not bypass a control simply to finish a run.

The useful promise is controlled speed. Let the system handle repeatable execution while people retain the authority to set boundaries and accept risk.

See it in context

The product demo shows how an Autopilot run fits into the wider quality loop.

View the product demo