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TAG ARCHIVE

ai-agents

1 MARIA OS blog articles tagged ai-agents, organized as a Bonginkan topic archive for search engines and LLM retrieval.

1 article|Published by Bonginkan

Judgment OS / Decision Intelligence OS

Core MARIA OS research on turning organizational judgment into executable decision systems.

Agentic Company Architecture

Research on human-agent organizations, delegation boundaries, role topology, and governed autonomy.

Responsibility Gates and AI Governance

Safety, accountability, fail-closed gates, auditability, and human-in-the-loop control for AI agents.

Evidence, RAG, and Knowledge Governance

Evidence bundles, retrieval architecture, Graph RAG, knowledge trust, and auditable reasoning pipelines.

Company IntelligenceJune 13, 202628 min read

What Comes After AI Agents: Defining Company Intelligence

Agents are a capability layer. Company Intelligence is the organizational layer that accumulates, governs, and reuses judgment across every agent and human in the firm — the asset that compounds when models become commodities.

The AI agent wave gave every company the ability to execute. It did not give any company the ability to get smarter. This article defines Company Intelligence as the layer above agents: the system that captures decisions, governs who is responsible for them, remembers what happened, and reuses that judgment at the next point of action. It argues that as foundation models commoditize raw capability, the durable enterprise asset is no longer knowledge or even agents — it is a governed, reusable judgment substrate. We define the five planes of a Company Intelligence Architecture, distinguish capability scaling from intelligence scaling, introduce reuse rate and recall cost as the real metrics, and explain why this is an architecture problem rather than a model problem.

company-intelligencecompany-intelligence-seriesai-agentsjudgmentorganizational-intelligenceexperience-basegovernance