Input
What you provide
- Reviewed signals, training policy, exclusions, and target run.
- Consent, policy exclusions, quality, run health, and integrity.
AuraOne / Products
Loading capabilities, workflow, and program details.
Models / Training and Exports
Prepare training inputs and artifact handoffs with policy exclusions, dataset lineage, run validation, and delivery details attached.
Model and data teams assembling reviewed training inputs and artifacts. Each program is configured around the workflow, review policy, and evidence your team needs.
Input
Work
Output
Move from intake to review and handoff with clear owners at every step.
01
Reviewed signals, training policy, exclusions, and target run.
Dataset lineage
02
Filter, deduplicate, assemble, validate, train, and review.
Run validation
03
Consent, policy exclusions, quality, run health, and integrity. Data owner, training operator, and model approver.
Named review and decision history
04
A governed corpus or model artifact with lineage and checksums.
Signed export manifest
What you receive
| Outcome | Work | What you receive | Program fit |
|---|---|---|---|
| Advance | The required Training and Exports checks and review are complete. | Dataset lineage, Run validation, Signed export manifest | Program fit depends on the source, version, criteria, reviewers, and operating scope. |
| Hold | A required check, reviewer, approval, or source record is missing or unresolved. | Blocking requirement, responsible owner, source record, and required recovery. | The responsible owner and recovery step stay visible until the issue is resolved. |
| Return for work | The source object or workflow requires correction and another review. | Returned items, responsible owner, expected evidence, and review route. | The updated work returns through the same review path before a new decision. |
Inspect the workflow