Research
Formal research assets for AI Agent Lifecycle, Agentic Delivery, and governance models for agentic and multi-agent systems.
The first three public research editions establish the compliance, auditability, and insurability foundation for agentic lifecycle evidence. The next phase is MPLP v2.0 object-model consolidation. The enterprise implementation white paper and practitioner guides are intentionally held until the protocol object model is ready.
Global AI Compliance White Paper 2026
From Model Governance to Agentic Lifecycle Conformance
A public edition defining Missing Regulatory Objects, RCCS-T, RCCS-M, ALCS, and lifecycle responsibility for AI agent and multi-agent governance.
HTML and PDF are available. Manifest and checksum records are provided for integrity verification. No public DOCX is authorized.
Public Research Edition; not certification, not external approval, and not public DOCX.
Agentic AI Auditability & Assurance White Paper 2026
A Lifecycle Evidence Guide for Audit, Assurance, 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.
HTML and PDF are available. Manifest and checksum records are provided for integrity verification. No public DOCX is authorized.
Public Research Edition; not certification, not external approval, and not public DOCX.
Agentic AI Insurability & Risk Transfer White Paper 2026
A Lifecycle Evidence Guide for Underwriting, Claims, and Enterprise Risk Transfer
A public research edition analyzing agentic AI insurability and risk transfer through lifecycle evidence, insured subject and risk object separation, underwriting reviewability, and claim reconstruction boundaries.
HTML and PDF are available. Manifest and checksum records are provided for integrity verification. No public DOCX is authorized.
Public Research Edition; not certification, not external approval, and not public DOCX.