Agentic AI Auditability & Assurance White Paper 2026
A Lifecycle Evidence Guide for Audit, Assurance, and Enterprise AI Governance
A lifecycle evidence guide for auditability, assurance boundaries, and enterprise AI governance.
A public research edition defining agentic AI auditability, lifecycle evidence, audit evidence chains, AARM, MRO-to-audit-evidence mapping, and enterprise AI governance boundaries.
Research object and scope.
The Agentic AI Auditability & Assurance White Paper 2026 turns lifecycle responsibility into audit evidence: reconstructable authority, roles, tool actions, accepted outcomes, exceptions, remediation, and privacy-preserving disclosure.
Why this paper matters.
It distinguishes raw logs from audit evidence chains and keeps auditability as a bounded evidence discipline rather than an audit opinion, certification, or assurance conclusion.
Read, download, and verify.
HTML and PDF are available. Manifest and checksum records are provided for integrity verification. No public DOCX is authorized.
Citation and identity.
Jearon Wong. Agentic AI Auditability & Assurance White Paper 2026: A Lifecycle Evidence Guide for Audit, Assurance, and Enterprise AI Governance. Technical Report AIAAWP-2026-v0.1, May 2026.
- Title
- Agentic AI Auditability & Assurance White Paper 2026
- Subtitle
- A Lifecycle Evidence Guide for Audit, Assurance, and Enterprise AI Governance
- Author
- Jearon Wong
- Version
- v0.1 Public Research Edition
- Document ID
- AIAAWP-2026-v0.1
- Publication month
- May 2026
- Canonical URL
- https://www.jearonwong.com/research/agentic-ai-auditability-assurance-white-paper-2026/
Public Research Edition. HTML/PDF artifacts are publicly available as a public research edition; not legal advice, not an audit standard, not certification, not an assurance opinion, and not regulator or audit-body endorsement.
- Not an audit standard.
- Not certification.
- Not legal advice or legal compliance proof.
- Not an assurance opinion.
- Not regulator approval.
- Not Big Four or audit-body endorsement.
- Not procurement recommendation or vendor ranking.
- No public DOCX is authorized.
Manifest and checksum record.
The public artifacts are available through the public route with manifest and checksum integrity records while preserving the controlled source-truth boundary.
996a07049b0588ba3c53c44501fcbaf8a67d8c84375a42167037134fc1fa69c4 85cccf7c177d7f449d33d4d507cc4885828fe334c4715e338282197150423ac7 cadbf8e3429333e18ed54867f99af2b747f499c1ca92c3c3eca879d70b3bee15 9d84c3286a5683673ff8ebb20f5d02c2a73b1a1cd7298792e2f31cbedbeecce4 What this paper does not claim.
Boundary language is part of the publication system. It keeps the artifact useful without turning research framing into external authority, advice, endorsement, certification, or standards-body approval.
- Not an audit standard.
- Not certification.
- Not legal advice or legal compliance proof.
- Not an assurance opinion.
- Not regulator approval.
- Not Big Four or audit-body endorsement.
- Not procurement recommendation or vendor ranking.
- No public DOCX is authorized.
Same publication system, adjacent research.
These white papers share the same public artifact pattern: title and abstract, status panel, HTML/PDF access, citation identity, manifest/checksum integrity, and explicit boundary notes.