FUURAA AI Knowledge Library · Downloadable evidence index

AI Agent Lifecycle Evidence Index

Use fifteen fields to connect evaluation, commissioning, operation, material change, incident and retirement records into a handoff-ready, expiring index. It preserves stable references instead of copying source evidence; entry, import and export stay in this device's browser.

Tool statusPublicly usable · no upload by defaultIndex rulefuuraa.ai-agent-lifecycle-evidence-index/v1Sources checked17 August 2026

Evidence index workspace

Point to authoritative records, name the current decision and let the next owner see what has expired.

Completeness checks only whether fifteen fields are populated. They do not open references, verify hashes or decide whether evidence is authentic, sufficient or decision-supporting.

0%15 fields remain incomplete.

Identify the index and reference rule

Freeze the exact system, accountable owner, timestamps and minimum reference contract.

0/3

Exact system and operating context Index owner, created time and review time Stable reference and state policy

Link all six lifecycle stages

Use authoritative references or an explicit none/not-applicable state—never a silent blank.

0/6

Evaluation decision record references Commissioning decision reference Operating-period record references Material-change decision references Incident decision references Retirement closure reference

Name the currently effective authority

Do not make readers infer the active decision from a document pile.

0/3

Current decision and authority envelope Active release and deployment proof Expiry, next review and reopen triggers

Keep references usable and limits visible

A locator without integrity, access and preservation context is not a handoff-ready reference.

0/2

Reference integrity, access and preservation Transfer limits, unknowns, failures and dissent

Close the ownership handover

Name acceptance, successor linkage and active, superseded or closed state.

0/1

Responsible owners, accepted handover and successor

JSON

Machine-readable lifecycle index preview

JSON only preserves references and handoff context in this template. This structure is not an international standard and does not replace source evidence, risk judgement, legal review, audit or certification.

{
  "schema": "fuuraa.ai-agent-lifecycle-evidence-index/v1",
  "identity": {
    "system_and_context": "",
    "index_owner_and_times": "",
    "reference_policy": ""
  },
  "lifecycle_lineage": {
    "evaluation_references": "",
    "commissioning_reference": "",
    "operating_references": "",
    "material_change_references": "",
    "incident_references": "",
    "retirement_reference": ""
  },
  "current_authority": {
    "current_decision_and_authority": "",
    "active_release_proof": "",
    "expiry_and_reopen_triggers": ""
  },
  "evidence_integrity": {
    "reference_integrity_and_preservation": "",
    "transfer_limits_and_unknowns": ""
  },
  "handover": {
    "handover_and_successor": ""
  }
}

Applicability boundary

A complete index does not mean referenced evidence exists, is authentic, sufficient or still current.

What the tool can do

Bind six-stage records to an exact system, decision state, owner, dates and stable locator
Keep current authority, active-release proof, expiry and reopen triggers in one view
Preserve transfer limits, unknowns, failures, dissent and predecessor/successor links

What the tool cannot prove

That references are accessible, content untampered, hashes correct or preservation periods suitable
That source tests are sufficient, controls effective, operation safe or decisions justified
That legal, compliance, audit, contractual, regulatory or certification requirements are met

FUURAA analysisA lifecycle chain can fail even when every stage has a document: references may be ambiguous, expired decisions may remain ‘current’, or copied handoff material may lose provenance. A lightweight index should point to authoritative records, preserve state, expiry and unknowns, and link both directions when superseded. It should not become another detached copy of the truth.

Primary sources and boundaries

Use lifecycle, operation and provenance sources to design the index—not to impersonate execution evidence.

Published 26 January 2023

NIST AI RMF 1.0

Provides lifecycle-wide outcomes for governing, mapping, measuring and managing AI risk.

BoundaryVoluntary and use-case agnostic; it does not authorise a system or prescribe this index.

Open primary source ↗Living resource · checked 17 August 2026

NIST AIRC · AI RMF Playbook: Manage

Connects deployment, monitoring, incident response, change management and decommissioning actions.

BoundarySuggested actions require adaptation and are not proof that an organisation performed them.

Open primary source ↗Final published 26 July 2024

NIST SP 800-218A

Adds AI-specific secure-development practices for model producers, system producers and acquirers.

BoundarySecure-development guidance is not operating authorisation, safety evidence or an audit result.

Open primary source ↗Published 27 November 2023

UK NCSC · Secure operation and maintenance

Connects monitoring, secure updates and lessons learned to deployed operation.

BoundaryHigh-level security guidance does not define task-specific evidence or retention periods.

Open primary source ↗W3C Recommendation · 30 April 2013

W3C PROV-DM

Models entities, activities, agents, time, derivation and responsibility for provenance.

BoundaryProvenance shows lineage; it does not prove truth, authenticity or decision quality.

Open primary source ↗

Method and verification

Understand the six-stage evidence chain, then build the index and independently open source records.

Check this lifecycle evidence index Read the AI Agent lifecycle evidence chain Enter AI Evidence Atlas Return to AI Knowledge Library