Trustworthy Agency, Compliant Collaboration.

Build AI that acts with organisational agency

Organisational Ontology | Normbase | Trustworthy Agency

Capabilities
The Organisational Agency Stack

From Organisational Ontology to Human–AI Collaboration

LangXAI turns organisational intent into buildable, executable, and collaborative capability layers: first grounding architecture, norms, and data as ontology; then giving AI and humans a unified Agent identity; and finally producing bounded, auditable agency in collaboration.

Organisational Ontology

Architecture (Schemo), norms (Normo), and data (Datumo) jointly describe the organisation—roles and processes, obligations and boundaries, objects and affordances. Agents enter a queryable space of organisational meaning, not a pile of ad-hoc context.

Agent Organisational Agency

AI Agents and human Agents share one organisational identity and mounted context—what they may perceive, what they must fulfill, and which capabilities they may invoke. Agency is supplied by the organisation, not improvised from prompts.

Norm-Governed Collaboration Runtime

In the collaboration entry point, humans and AI advance work in one normative context—compliance before action, coordination during execution, and traceability afterward. Organisational action gains speed without losing boundaries or auditability.

Learn more about LangXAI AIF architecture and the Norm.Xin platform:

Use Cases

A $100B+ compliant enterprise Agent market awaits

What we are doing today

Serving Fortune 500 clients including multinational industrials and State Grid scenarios.

Target industries ahead

Expanding into compliance-intensive sectors: financial services, healthcare, legal.

We are our own customer

Heavy users of organisational Agents — we see the future firsthand.

Lab

NAICE.AI Lab

LangxAI NAICE.AI Lab bridges human strategic intent and autonomous agent execution — hybrid intelligence greater than the sum of its parts.

50 Years of Theoretical Foundation

Since the 1970s, building on original research in organisational semiotics — grounding organisational informatics and systems engineering for AI research.

1970s

Artificial Organisational Intelligence (AOI)

In 2024, introducing AOI — AI that understands norms, roles, and collaboration as governable, trustworthy organisational members.

2024

From Information Field Theory to Practice

In 2025, advancing the Agent Information Field (AIF) stack and Agent R&D to bridge theory and engineering for organisational intelligence.

2025

Open innovation across industries

From 2026, building networks with universities, research institutes, and industry experts to evolve AOI in research and practice.

2026

Explore our research and theoretical foundations:

Knowledge workers thrive when one person's output becomes another's input. We share our knowledge as your trusted open innovation partner.

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