Knowledge & Articles
In-depth articles on the framework and its governance, and a knowledge base fixing TEAF's structuring vocabulary.
Articles
The definition of enterprise architecture, why TOGAF, ITIL, COBIT and SAFe remain necessary but not sufficient alone against generative AI, and how TEAF fits alongside them.
Read the article · 7 minWhat "AI-native" concretely means for an enterprise architecture, the three anti-patterns to avoid, and the role of the AI Control Plane and the Architecture Debt Index.
Read the article · 7 minIntent, Capability, Knowledge, Decision, Automation, Execution, Observation, Learning: what each step concretely delivers.
Read the article · 8 minWhy a classic ADR silently goes stale, and how the Living ADR makes that staleness visible.
Read the article · 7 minOne process, one loop, one measurable objective: the minimal viable architecture to start in a few weeks.
Read the article · 7 minThe recurring symptoms of an architecture that no longer governs anything — and TEAF's corrective mechanism for each.
Read the article · 8 minThe problem of duplicated information, and how the Knowledge Backbone connects to the Living ADR.
Read the article · 7 minWhat the AI Control Plane covers today — and what still needs deepening for full AI governance.
Read the article · 8 minWhat each framework covers, what TEAF inherits, adapts and combines — and what remains unique to its loop.
Read the article · 7 minFrom documentation chaos to the digital nervous system: what each level concretely means, and how to position honestly.
Read the article · 6 minOne year after publication: what field feedback confirms, what it doesn't yet prove, and why the organizations involved stay anonymous.
Read the article · 7 minKnowledge base
Eleven terms that make up TEAF's vocabulary, with their fixed definition as set by the collection's terminology reference. Two of them reuse a notion already present elsewhere in the industry — the caveat is stated explicitly rather than left unsaid.
Architecture that evolves continuously through permanent feedback, rather than through periodic review cycles.
A digital layer connecting strategy to execution in real time, by analogy with a biological nervous system linking perception and action.
The phrase is already used in enterprise architecture, notably by platform vendors. TEAF reuses this metaphor rather than inventing it.
The metamodel component that centralizes all architectural knowledge into a single repository, materialized concretely by the Knowledge Graph.
An Architecture Decision Record generated and updated automatically, permanently linked to the knowledge graph.
The "Living" status for continuously evolving ADRs already exists in some public repositories. TEAF proposes a formalization of it at enterprise-architecture scale.
A dynamic representation of the architecture and its behaviors, continuously updated.
Governance built into the architecture lifecycle, with no separate audit phase.
The decisional fabric linking architecture decisions (ADRs), the knowledge graph and governance.
The control plane for AI agents: routing, security, cost governance.
The graph of business, technical and compliance capabilities, and their mutual dependencies.
The graph linking board-level objectives to the technical components that serve them.
An AI layer that learns from past decisions and proposes adjustments.
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