Organizational General Intelligence
A unified framework for AI-native knowledge infrastructure.
Ontologic LLC · Preprint · under review at SSRN
This paper proposes a theoretical framework for Organizational General Intelligence — the emergent capacity of an organization to perceive, reason, and act through unified AI-native systems rather than fragmented tools. It defines six universal primitives that underpin all organizational intelligence and argues that integrating them coherently represents the next meaningful leap in enterprise AI adoption.
Most organizations deploy AI as a collection of disconnected tools — each useful in isolation, none of them building toward coherent intelligence. The limiting factor is not capability but architecture: organizations lack a unified framework for how AI systems should perceive, store, reason about, and act on institutional knowledge.
We introduce Organizational General Intelligence (OGI) — the emergent property of AI-native systems that integrate six universal primitives: memory, entity graphs, events, tools, reasoning, and social modeling. Drawing on organizational theory, cognitive science, and applied AI systems research, we develop each primitive in depth and show how their integration produces capabilities that no single primitive enables alone.
The architecture is scale-invariant and fractal — recurring at the individual, team, organizational, and inter-organizational levels — with social modeling as the connective tissue that lets intelligence compose across scales.
Ontologic LLC. (2025). Organizational General Intelligence: A Unified Framework for AI-Native Knowledge Infrastructure. Preprint.
What the paper establishes.
Organizations are intelligent systems — they perceive, reason, and act, just like individual agents.
Six universal primitives underpin all organizational intelligence: memory, entity graphs, events, tools, reasoning, and social modeling.
Current AI deployments treat these primitives in isolation — the next competitive advantage comes from unifying them.
Organizational General Intelligence (OGI) is the emergent property of systems that integrate all six primitives coherently.
The six-primitive architecture is scale-invariant and fractal — it recurs at the individual, team, organizational, and inter-organizational levels.
This framework provides a practical blueprint for AI-native knowledge infrastructure, not just another productivity layer.
Six universal primitives of organizational intelligence.
Memory
Persistent storage and retrieval of institutional knowledge across time and context.
Entity Graph
Structured representation of people, projects, decisions, and their relationships.
Events
Understanding of how knowledge evolves, decays, and becomes relevant over time — the temporal fabric of organizational life.
Tools
The capacity to take action — querying, synthesizing, triggering workflows — through connected systems.
Reasoning
Drawing inferences, resolving ambiguity, and generating insight from the combined intelligence layer.
Social Modeling
Representing not just what agents do but how they relate — influence dynamics, trust networks, communication patterns, and the social fabric that determines how intelligence actually flows.
The platform is the proof of concept.
Ontologic was built to put this framework into practice — all six primitives as one AI-native operating layer. If you’re evaluating how these ideas apply to your firm, let’s talk.