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Institutional design glossary

Working bilingual definitions for key terms in institutional systems, governance, design and AI in business.

Definitions are written for this knowledge centre and may differ from legal, regulatory or discipline-specific usage. Follow the authoritative source where one applies.

Glossary

Institution
An organized arrangement of people, roles, rules and resources established to pursue a continuing purpose. Usage varies by field and jurisdiction.
Organization
A group of people coordinating work and resources toward shared objectives; in this centre, the term is distinct from the wider rules and norms that may shape an institution.
Organizational system
The connected roles, decisions, processes, resources, information and relationships through which an organization operates.
Institutionalization
Establishing and maintaining legitimate arrangements, responsibilities and routines so they can be understood, applied, reviewed and adapted.
Governance
The arrangements through which direction is set, authority is exercised, decisions are made and accountability is maintained.
Institutional capability
The repeatable ability to combine people, knowledge, processes, resources and technology to perform a function or achieve an outcome.
Operating model
A description of how an organization arranges roles, decisions, processes, capabilities and systems to deliver its value proposition.
Enterprise architecture
A structured description of an enterprise’s components and relationships used to connect direction, capabilities, operations, information and technology. Methods and scope vary.
Institutional design
The deliberate shaping of institutional arrangements—purpose, governance, roles, processes and capabilities—to support intended work and outcomes.
Enterprise intelligence
A Mizan term for an institution’s connected capacity to organize knowledge, resources and decisions. It is not a standardized technical category or a measured claim by itself.
Artificial intelligence (AI)
Computational methods that perform tasks such as prediction, classification, content generation or recommendation. Capabilities and limitations depend on the system and context.

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