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In-depth explainer articles on AI agents, governance frameworks, and technical patterns
These visual guides distill key concepts from Agentic AI in Law and Finance into accessible, illustrated articles for legal and financial professionals.
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Governance Models: HITL, HOTL, HIC
Understanding Human-in-the-Loop, Human-on-the-Loop, and Human-in-Command governance patterns for AI agent oversight.
Memory Architecture for Agents
Working, episodic, and semantic memory—how AI agents retain and use information across interactions.
RAG: Retrieval-Augmented Generation
How retrieval-augmented generation grounds AI responses in authoritative sources and reduces hallucination.
The Principal-Agent Problem in AI
How economic agency theory applies to AI systems: information asymmetry, moral hazard, and alignment.
Dimensional Calibration Framework
Matching governance intensity to risk through autonomy, entity frame, goal dynamics, and persistence.