AI/model release evidence review
Preserve the proposed model/configuration release, actual evaluation evidence and a human release decision.
Start this workflowAI governance and model accountability
Private evidence workflows for model release reviews, AI incident investigations and provider/model changes.
Your organization's private workspace. Your original records.
From scattered records to inspectable history
Each workflow creates a private Matter using the installed kit and its evidence categories. Add your own records after creation.
Preserve the proposed model/configuration release, actual evaluation evidence and a human release decision.
Start this workflowReconstruct one reported AI failure from retained inputs, outputs, versions, effects and human response.
Start this workflowCompare announced/supplied provider changes with actual application configuration, tests and human change decisions.
Start this workflowAlready have a workspace? Sign in and continue.
How the record develops
Name the actual job, incident, asset or decision. The kit and workflow are recorded with the Matter.
Upload the records from your operation. Inspect source details and categorize evidence without replacing its original bytes.
See present and missing evidence categories. Completeness describes the record; it does not decide the outcome for you.
Package the preserved record and provenance for review. Export access follows your workspace's existing permissions and plan.
Built around your work
These private workflows organize the records you bring from your operation. The evidence categories are workflow design; they do not certify an outcome or decide whether an authority applies.
Keep the source material, the gaps, and the decisions in the same private history.
Create your first AI/model release evidence review Matter