How Accepted Meaning Survives Across Organisational, Technical and AI Boundaries
Accepted semantic architecture → shared institutional meaning
The Semantic Contract Surface
How Accepted Meaning Survives Across Organisational, Technical and AI Boundaries
Paper type: Arqua Architecture Paper
Status: Planned
Publication state: Concept Approved
Version/date: Placeholder
Abstract
The Semantic Contract Surface addresses the problem that accepted meaning can collapse when it crosses organisational, domain, technical, analytical or AI boundaries. The paper owns the transformation from accepted semantic architecture to shared institutional meaning. It defines how semantic contracts, data product contracts, API contracts and AI context contracts carry meaning, context, authority and permitted use across producer-consumer boundaries. Within Arqua’s programme, it connects semantic governance to Enterprise Intelligence Architecture and The Enterprise Control Plane by showing how institutional meaning survives distribution. It matters for AI-mediated institutional systems because AI agents and workflows often consume meaning outside its original context. Without a contract surface, semantic compression, context collapse and unauthorised reuse can turn governed meaning into uncontrolled execution input.
Focus
This paper asks: how does accepted meaning remain intact, authorised and contextually bounded when it crosses organisational, technical and AI-mediated boundaries?
Transformation
Accepted semantic architecture
↓
Shared institutional meaning
How this relates to Arqua
This paper supports Enterprise Intelligence Architecture by defining how meaning is shared across boundaries. It operationalises The Enterprise Control Plane at semantic interfaces and supports Execution Admissibility Architecture by preserving permitted use and context for runtime decisions.
Key concepts
- Semantic contract
- Contract surface
- Data product contract
- API contract
- AI context contract
- Permitted use
- Context collapse
- Shared meaning
Read this if
Read this if you work in enterprise architecture, data product ownership, API ownership, AI governance, data governance or risk and need to preserve meaning across producer-consumer and AI boundaries.
Placeholder note
This paper is currently in development. The placeholder records the architectural position, transformation and relationship to the Arqua architecture programme. Full paper text will be added when the draft is ready for publication.
Related papers
- Intelligent Semantic Architecture
- The Semantic Governance Operating Model
- Enterprise Intelligence Architecture
- The Enterprise Control Plane
CTA
Start with one high-consequence decision. Identify where meaning, authority, policy, evidence or execution currently becomes uncontrolled.