Accountability Boundaries for AI in Project Delivery

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1Accountability Boundaries for AI in Project Delivery

2Project Context Packets and Safe Context Compression 3Output Contracts for Auditable AI Drafts 4Hallucination and Omission Critiques in PM Drafts 5Verification Checklists and Source-of-Truth Alignment 6Confidentiality, Threat Models, and Human Approval Gates

7Context Packet to Artifact Inputs 8RACI Drafting With Decision Rights and Approval Boundaries 9RAID Seed Logs With Cause–Event–Impact Quality 10Schedule and Dependency Drafts as Hypotheses 11Stress-Testing AI Drafts for Fabricated Planning Details 12Planning Bundle Packaging, Heatmap Drafting, and Source-of-Truth Alignment

13Meeting Records That Separate Decisions From Discussion 14Action Logs With Ownership Confirmation and Due-Date Discipline 15Misattribution and Omission Failure Modes in AI Meeting Outputs 16Stakeholder Message Variants From a Single Fact Base 17Change and Bad-News Narratives With Ethical Boundaries

18Weekly Status Input Bundles and Fact-Hypothesis Separation 19Executive Dashboard Narratives From a Small Metric Set 20EVM Narratives With Explicit Calculations and Boundaries 21Critique Loops for Math Errors, Fabricated Causes, and Missing Impacts 22Risk Register Expansion With Category Traceability 23Risk Signals, Outbound Reporting Gates, and Change Narratives

24Option Sets for Schedule and Resource Recovery 25Feasibility Screens for AI-Proposed Recovery Options 26Executive Decision Memos That Compare Options Without Overclaiming 27Trigger–Condition–Action Maps for the Weekly PM Cadence 28Approval Gates, Audit Trails, and Visibility-Preserving Automation 29Security Safeguards and the Capstone Workflow Playbook

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Accountability Boundaries for AI in Project Delivery