What does the model retirement checklist produce?
Control the retirement of one model or AI component by recording dependencies, replacement, access removal, evidence preservation and accountable closure.
Prepare and review the task-specific records in this browser. Inspect consistency findings and retain the complete backup before preparing the finalized pack. Accountable decisions require responsible review.
What do you need before you start?
- Define the named scope, accountable owner and your review basis.
- Retain the actual evidence separately. Recorded links and evidence references are declarations and are not fetched.
- Choose a valid review date. Resolve missing fields, contradictory declarations and date or status findings before relying on the review.
What information do you enter?
The browser workspace asks only for the structured fields listed below.
- AI system (required). Use the name in the organization’s inventory.
- Model or component (required). Use the exact model, prompt, retrieval or tool component identifier.
- Retiring version (required). Record the exact version being removed from use.
- Retirement reason (required). Explain the business, risk, performance or provider reason for retirement.
- Retirement owner (required). Name the person or role accountable for closure.
- Replacement or fallback (required). Name the approved replacement or state that the capability will stop.
- Affected dependencies and users (required). Identify workflows, integrations, users and records that rely on the component.
- Evidence and record preservation (required). State which versions, tests, logs and decisions must remain available.
- Access and deployment removal (required). Record how credentials, endpoints, prompts and deployments will be disabled.
- Closure evidence reference (required). Use an internal change, approval or decommissioning reference.
- Target retirement date (required). Record the planned or completed retirement date.
- Retirement status (required). Record the current internal state.
| Field | What to enter | Fictional example |
|---|---|---|
| AI systemRequired | Use the name in the organization’s inventory. | Example policy assistant, fictional |
| Model or componentRequired | Use the exact model, prompt, retrieval or tool component identifier. | Example model endpoint |
| Retiring versionRequired | Record the exact version being removed from use. | example-model-1 |
| Retirement reasonRequired | Explain the business, risk, performance or provider reason for retirement. | Provider support ends after the replacement evaluation. |
| Retirement ownerRequired | Name the person or role accountable for closure. | AI product owner |
| Replacement or fallbackRequired | Name the approved replacement or state that the capability will stop. | example-model-2 after approval |
| Affected dependencies and usersRequired | Identify workflows, integrations, users and records that rely on the component. | Internal policy search and the support drafting workflow. |
| Evidence and record preservationRequired | State which versions, tests, logs and decisions must remain available. | Keep evaluation results, release decision and prompt version for the retention period. |
| Access and deployment removalRequired | Record how credentials, endpoints, prompts and deployments will be disabled. | Remove production endpoint access and revoke the service credential. |
| Closure evidence referenceRequired | Use an internal change, approval or decommissioning reference. | EXAMPLE-CHANGE-055 |
| Target retirement dateRequired | Record the planned or completed retirement date. | 2026-11-30 |
| Retirement statusRequired | Record the current internal state.Choose from Planned, In progress, Blocked, Completed, Reopened. | Planned |
What you can download
Every result must identify its supplied facts, assumptions and unresolved items.
| Free result | Included downloads |
|---|---|
Enter your information, inspect the on-screen result and keep a browser backup. Editing and direct copies of your entered information stay free. |
These supported outputs are free. No checkout is required. |
How does the model retirement checklist work?
- 1Prepare the named records
Use the task-specific fields above. Retain original evidence separately and record exact references and versions.
- 2Review internal consistency
Choose the review date. Inspect each scope identity, contradictory declaration, missing decision support and date or status finding.
- 3Keep recoverable work
Download a free backup before replacing or clearing work. Restore earlier record backups or the complete current snapshot, including unfinished drafts.
- 4Prepare the finalized pack
Prepare all nine files, then download them free. Review excerpts in PDF and DOCX against the complete Excel, CSV and JSON. Optional private cloud saving requires sign-in and separate consent.
Method and sources
Apply the steps above to the supported inputs. Use the listed source sections to review the rule basis, assumptions and limits.
- Artificial Intelligence Risk Management Framework 1.0A voluntary US baseline for AI risk records, responsibilities, evaluation and lifecycle decisions. Govern, Map, Measure and Manage.National Institute of Standards and Technology. Published 2023-01-26. Reviewed 2026-10-08.
- AI Risk Management Framework PlaybookImplementation ideas and documentation practices for the AI RMF. Suggested actions for Govern, Map, Measure and Manage.National Institute of Standards and Technology. Published 2023-03-30. Reviewed 2026-10-08.
Common questions
What information does the model retirement checklist need?
Enter AI system (required). Use the name in the organization’s inventory; model or component (required). Use the exact model, prompt, retrieval or tool component identifier; retiring version (required). Record the exact version being removed from use; retirement reason (required). Explain the business, risk, performance or provider reason for retirement; retirement owner (required). Name the person or role accountable for closure. Define the named scope, accountable owner and your review basis.
What does the model retirement checklist produce?
Complete all-field record review and task-specific scope rows. Every unresolved finding stays visible. Free restorable browser backup including the unfinished draft, editing reference and review date. Nine-file finalized pack. Formal PDF, editable DOCX, complete Excel register and review sheets, records CSV, findings CSV, scope review CSV, complete JSON, file hashes and instructions. Review unresolved findings and limitations before use.
Who makes the final decision?
A responsible person reviews the result. Checks review customer declarations, recorded dates and internal consistency. They do not authenticate evidence, approve an AI use, determine legal applicability or establish conformity, safety or risk acceptance.
Is this tool free?
Yes. The on-screen result and listed downloads are free. No checkout is required. Keep local backups and review the stated method and limits.
Can I use the model retirement checklist for this task?
Track removal, archived evidence and affected dependencies. Checks review customer declarations, recorded dates and internal consistency. They do not authenticate evidence, approve an AI use, determine legal applicability or establish conformity, safety or risk acceptance.
What still needs review?
Checks review customer declarations, recorded dates and internal consistency. They do not authenticate evidence, approve an AI use, determine legal applicability or establish conformity, safety or risk acceptance.
Each workspace supports 1000 records, 20000 characters per field and a 30 MB complete workspace. Invalid and foreign backups preserve current browser work.
PDF and DOCX show the first 20 records, field excerpts through 2000 characters and the first 40 findings. Excel, CSV and JSON retain complete values and derived rows. Referenced files are not fetched or included.