What the tool can do
- Keep one exact system, revocation evidence, dependencies and owners together
- Separate evidence to preserve from data to dispose
- Import, copy and download handoff-ready JSON locally in the browser

FUURAA AI Knowledge Library · Browser-local tool
Turn authority revocation, evidence preservation, data disposition, successor handoff, independent verification and expiring closure into a fifteen-field JSON record. Entries are processed only in this browser page.
Retirement closure workspace
Start blank or load a clearly marked fictional example. Completion checks only field presence—not whether disposition, preservation or closure is valid.
0%15 fields remain incomplete.
Bind the decision to one exact system, reason, owner, window and dependency set.
Separate denied action, justified preservation and bounded disposal.
Name every location and prevent a successor from inheriting old authority by default.
Show that required evidence remains readable while unwanted capability is unusable.
Closure is a reviewable decision with dissent, ownership and reopen conditions.
JSON
The export uses RFC 8259 JSON. The structure is a FUURAA public method—not an international standard, legal retention schedule, forensic format, media-sanitisation proof, audit or certification format.
{
"schema": "https://fuuraa.com/schemas/ai-agent-retirement-closure-record/v1",
"scope": {
"retirement_object_and_reason": "",
"decision_owner_and_effective_window": "",
"dependency_and_affected_party_map": ""
},
"authority_and_records": {
"authority_revocation_evidence": "",
"preservation_classes_and_purposes": "",
"disposal_classes_and_methods": ""
},
"assets_and_continuity": {
"asset_and_storage_location_inventory": "",
"successor_scope_and_exclusions": "",
"migration_and_negative_action_tests": ""
},
"verification": {
"archive_readability_test": "",
"sanitisation_validation_evidence": "",
"residual_copies_and_unresolved_duties": ""
},
"closure": {
"independent_reviewer_and_dissent": "",
"closure_state_and_rationale": "",
"expiry_next_review_and_reopen_triggers": ""
}
}Applicability boundary
FUURAA analysisA high-quality retirement record holds two opposing evidence sets together: one shows the system can no longer act; the other shows required material remains restorable, locatable and interpretable. Recording deletion without testing archives—or preserving archives without testing revoked authority—cannot support completed retirement.
Primary sources and boundaries
Frames lifecycle-wide governance, mapping, measurement and management of AI risk.
BoundaryIt does not prescribe a retirement record or certify closure.
Open primary source ↗Published 26 February 2024Supports ownership, dependency, recovery and residual-risk decisions.
BoundaryHigh-level outcomes, not an AI-agent retirement procedure.
Open primary source ↗Published 27 November 2023Connects monitoring, updates, remediation and lessons learned for deployed AI systems.
BoundaryIt does not determine lawful retention or disposal in a specific context.
Open primary source ↗Final 26 September 2025Guides enterprise media-sanitisation programmes and validation.
BoundaryThis tool does not select or validate a sanitisation method for any real asset.
Open primary source ↗Recommendation 30 April 2013Models entities, activities, agents, derivation, time and responsibility for provenance.
BoundaryA provenance model is not proof that an archive is authentic, complete or lawfully retained.
Open primary source ↗Published December 2017Defines the JSON interchange format used by the local export.
BoundaryValid JSON says nothing about the truth, integrity or sufficiency of its contents.
Open primary source ↗Method and evidence chain