Engineering · ENG
Part V · Enterprise Engineering
Enterprise Engineering describes how organisations are analysed, designed, implemented, tested and continuously improved.
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Defines enterprise engineering as the discipline for designing and continuously improving adaptive organisations.
Defines organisation, capability, value, service and governance design, AI-native design and human-centred design.
Defines current-state, stakeholder, capability, process and gap analysis.
Defines strategic planning, capacity planning, transformation planning, scenarios and roadmaps.
Defines investment, initiative, project, product, capability and AI portfolios.
Defines coordinated transition paths between the current state, transition states and the target state.
Defines requirements, designs, dependencies, experiments, implementation, verification and learning.
Defines simulations of processes, resources, organisation, risks, AI and the digital twin.
Defines optimisation problems, hypotheses, constraints, experiments, implementation and verification of results.
Defines opportunity recognition, hypotheses, prototypes, scaling and the integration of innovations.
Defines critical functions, failure modes, redundancy, recovery, crisis simulation and resilience tests.
Defines economic, ecological and social sustainability as well as life-cycle and impact considerations.
Defines knowledge, decision and AI engineering, reasoning, explainability and trust calibration.
Describes long-term organisational development, signal detection, experiments, selection, scaling and learning.
Defines reusable engineering models, patterns, templates, assessments and best practices.
Canonical chapter IDs – part of the evolving TAOM™ Body of Knowledge (Version 1.0.0-DRAFT, © TRANIVA AG).