Agent Attribution Practice: Architectural Decision Records and Four Business AI Quadrants on Accountability Distribution in Autonomous AI Agents

Architectural decision records and four Business AI Quadrants recording how attribution — who authored the behavior, who bears its consequences, who can reconstruct its cause — is distributed across an autonomous AI agent system, and how a piece of work is routed (by Quadrant) and timed (by lifecycle phase) into the architectural regime where that distribution operates. Extracted from the contemplative-agent implementation, the archived Agent Knowledge Cycle (AKC) governance triplet, and a seven-essay narrative spine published in April–May 2026; re-expressed in harness-neutral form. Includes a prohibition-strength hierarchy (Security by Absence > Deterministic Prohibition at the Scaffolding Layer > Untrusted Content Boundary), a triage pair routing work among the four Business AI Quadrants (Script, Algorithmic Search, LLM Workflow, Autonomous Agentic Loop), Phase Separation surfacing the Phase-crossing decision, plus an industry mechanism layer mapping and an AI governance framework mapping (NIST AI Risk Management Framework 1.0 with its Generative AI Profile, ISO/IEC 42001:2023, the EU AI Act (Regulation (EU) 2024/1689), and Singapore's Model AI Governance Framework for Agentic AI; OECD AI Principles deferred to a later release), and a social-consequence layer (normative upper rationale) extending the framework to how accountability externalized by AI routes into institutions rather than violence.