Decision Tracing Insights
Expert perspectives on AI governance, decision tracing, EU AI Act compliance, and building transparent AI systems that earn trust.
AI Decisions Deserve Receipts: Why Decision Tracing Is the Missing Layer in AI Governance
Every financial transaction gets a receipt. Every legal contract gets a signature. But AI decisions that affect millions of people? Invisible. Decision tracing changes that by capturing the WHY behind every AI decision — the options considered, evidence consulted, and reasoning chains followed.
EU AI Act Article 6: What High-Risk Classification Means for Your AI Agents
Article 6 of the EU AI Act determines whether your AI system is "high-risk" — and triggers mandatory audit trail requirements. If your agents make decisions about credit, employment, education, or healthcare, you need to understand Annex III classification before August 2026.
GraphRAG for AI Decisions: Why Graphs Beat Vector Search for Agent Memory
Vector RAG over logs returns "chunk soup" — disconnected text fragments that miss the counterarguments, approvals, and precedent that made a decision defensible. When decisions are stored as a normative argument graph, retrieval returns a bounded, auditable Decision Packet instead. Here is why the decision graph is the right substrate for agent memory — with the full institutional-memory flywheel now shipped.
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