Operating System · OS

Turns the scientific foundations of TAOM into enterprise mechanisms that can be applied in practice.

Defines the universal organisational, human, technological and adaptive principles.

Defines the canonical metamodel with enterprise objects, relationships, states, events, behaviours and life cycles.

Defines the shared language, terminology, taxonomy and semantics for people, systems and AI.

Connects purpose, stakeholder outcomes, priorities and measurable value creation.

Describes the cognitive mechanisms of the organisation and the relationship between human and artificial intelligence.

Defines how organisational knowledge is created, structured, governed, used and developed further.

Defines transparent, traceable and governed decision mechanisms.

Defines capability models, ownership, life cycle, portfolio, governance and maturity.

Defines organisational structures, roles, teams, communities, networks and collaboration.

Sets out how strategy, decisions and capabilities are turned into processes, work and results.

Defines continuous improvement, learning, transformation, innovation and resilience.

Defines the integrated collaboration of people, AI workers and AI agents.

Defines the dynamic digital representation of the organisation and its states.

Connects corporate governance, risk, compliance, security, data protection, ethics and accountability.

Defines architecture as the structural representation of the adaptive enterprise.

Defines transformation as the governed evolution of capabilities, knowledge, governance and intelligence.

Defines KPIs, metrics, organisational health, maturity and value measurement.

Defines the organisation’s relationships with partners, networks, platforms, markets and regulators.

Describes how internal and external signals are turned into learning, decisions and adaptation.

Defines the coordination of people, AI workers, teams, capabilities, decisions, resources and dependencies.