STEP 01
INTAKE
Intake
Share the queue, the rubric, the reviewers, and what proof a successful pilot has to produce.
→PILOT · AI LABS · ONE QUEUE IN
Pilot AuraOne for AI Labs.
Bring one active queue — annotation, RLHF, red-team, or evaluation. We scope the loop, stand it up on your data, and end with a signed result and a clear next step.
PILOTS
One queue in
Bring an annotation, RLHF, red-team, or eval queue you already run.
OUTCOMES
Signed evidence
Reviewer calls, overrides, and regression cases stay attached to the work.
TIMELINE
Weeks, not quarters
Scoped pilot, first batch reviewed, decision to expand or stop.
HOW A PILOT RUNS
Intake. Scope. Sign.
One queue in. A standardized review loop on your data. A signed packet out — and a decision to expand or stop.
STEP 02
STANDARDIZE THE STEP
Scope
We standardize the routed-review loop on your data, in your tenant, with the reviewers and rubric your team trusts.
→STEP 03
SIGN THE RESULT
Sign
First batch reviewed. Regression cases captured. A signed packet you can hand to a reviewer or examiner.
Pilot intake · A1-AI-LABS
Scope the pilot.
Tell us the queue, the timeline, and what you want to prove. We respond with a scoped pilot and a clear next step.
Bring the queue · we'll bring the loop
Start a pilot.
Pick one queue. We scope the loop, stand it up on your data, and end with a signed result.
Pilot intake
Accepting
Starts fromOne queue you already run
Leaves withSigned packet · regression cases
PathIntake → Scope → Sign
OwnerAI Labs pilot desk