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 minWhy a quarterly review cycle no longer holds, what "looping continuously" concretely means in TEAF, and how maturity level 5 — Living Architecture — makes that continuity measurable.
Read the article · 6 minThe five roles set out in Book II, the Architecture Review Board, and how Continuous Governance replaces the point-in-time audit — including for NIS2, the EU AI Act and GDPR.
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 minHow to calculate TEAF's two global indicators, the threshold that defines governance keeping pace with execution, and two illustrative implementation scenarios.
Read the article · 7 minAn explicitly fictional scenario, in the same pedagogical spirit as Books III and IV: what an end-to-end, AI-driven TEAF rollout could produce — and why it isn't recommended anywhere without much stricter guardrails.
Read the article · 9 minI'm proud of the first public testimonials on this side project. Where training and certification for the five roles currently stand, why I still recommend the official GitLab repo, and why the available metrics don't yet amount to scientific proof.
Read the article · 5 minA real curriculum and exercises per role, a graded quiz with 100% deterministic scoring, a TEAF Light attestation — and why access is currently limited to candidates judged relevant, on request.
Read the article · 7 minOrganizations are discovering that every AI agent is an identity to govern. What current practice recommends, what TEAF's AI Control Plane already covers, and what it does not provide.
Read the article · 7 minADRs are back because coding agents forget between sessions. Why the decision must outlive the agent, what an "agent-ready" ADR contains, and what the Living ADR adds.
Read the article · 7 minThe Model Context Protocol lets a repository be exposed to an agent. What it requires of the Knowledge Backbone, what it makes possible, and the limits to keep in mind.
Read the article · 7 minHigh-risk pushed to December 2027 and August 2028, transparency due since August 2026. An honest reading of what the AI Control Officer and Compliance Liaison can contribute — without promising compliance.
Read the article · 7 minThe 2026 DORA report speaks of an amplifier; Gartner forecasts over 40% cancellations of agentic projects. Two converging readings of the TEAF maturity pyramid.
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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