Universality
Applicable to any company, of any size. From startup to conglomerate, Enterprise Architecture provides a structured view of the whole — a prerequisite for strategic and operational management.
Enterprise Architecture
ClaraEA is the practical framework that integrates business architecture and information technology architecture. Built on decades of experience across technology and financial services.
Manifesto
From the structure of an atom to the gears of a machine, from the organization of a living being to the processes of a company, everything depends on how its components are organized and related.
The way an organization is structured — its processes, decision-making, technological architecture — directly conditions the results it achieves. Fragmented structures produce fragmented systems. Aligned structures produce coherent, scalable solutions.
"Organizations design systems that mirror their own communication structure."
The Concept
Before the 13 layers — eight business layers and five IT layers, plus layer 0, the strategic drivers, outside the stack — five ideas provide the key to reading Clara/EA — and explain why it differs from other Enterprise Architecture frameworks.
Applicable to any company, of any size. From startup to conglomerate, Enterprise Architecture provides a structured view of the whole — a prerequisite for strategic and operational management.
Hierarchical layers that depend on one another. When the size or scope of a layer justifies it, the layer may be subdivided into sub-layers — the model allows this flexibility without requiring it. Entities, processes and relationships form hierarchies too.
Domains and subdomains group entities, processes and their relationships by shared characteristics. They are not a level of the structure — they are the lens that improves understanding of the abstraction each layer deals with, and makes it navigable.
Everything that sustains the company — business and technology — is materialized in a multidimensional database: EA/CMDB. It does not live in slides; it lives in a queryable graph integrated into management.
An evolutionary, adaptive model: Clara/EA does not impose a rigid target state. Mapping the business and IT architectures is incremental, iterative and flexible — and what matters most is the convergence of perception, understanding and definitions built at every interaction with the people involved, through group dynamics close to design thinking.
The Framework
ClaraEA structures the organization into hierarchical, interdependent layers — from strategy to implementation. Click any layer to see details.
The descriptions below are introductory. The in-depth treatment of each layer lives in the Clara/EA book (2027) and in consulting engagements.
Business Architecture
O contexto externo: onde a organização compete, quais clientes serve e como se posiciona frente a concorrentes e à regulação. Define o terreno sobre o qual todas as demais camadas se desenham.
Multidimensional relationships
The layers above are presented one by one, in the order in which they depend on each other. But describing an organization is not filling in a list. Each layer is populated by entities — markets, brands, channels, products, companies, policies, areas, indicators, solutions — and by the processes that make them work. Entities and processes have relationships, and those relationships do not stay confined to the layer where they are born.
Because every layer holds a hierarchical relationship and interdependence with the others, the links between entities cross the stack. The result is a multidimensional relationship — not drawn all at once, but built progressively as the business architecture is described, layer by layer.
When mapping Market, Segment and Niche, the first relationship already appears: one market splits into n segments, and each segment into n niches. In the next layer, Brand, another one emerges: each brand serves a niche, a segment, a market. Descending to Channels, the same happens — through which channels each brand is accessed. And, from Channels to Products, which products each channel offers.
Traversed in reverse, the same network answers questions no single layer can answer alone: which channels support which brands, and serve which niches, segments and markets; which products depend on which channel; which market is left uncovered if a brand exits. The same logic applies to every layer you descend — until, in the IT Architecture, products start pointing to the solutions that realize them.
It is this network — not the list of layers — that EA/CMDB materializes as a graph, navigable in both directions.
Read in both directions: top-down, what each layer unfolds; bottom-up, what each entity sustains.
EA/CMDB is the tool that materializes this network: layers, domains, entities and relationships in a queryable graph, integrated with management.
Discover EA/CMDB →The Tool
The tool that materializes the Clara/EA framework. A graph structure that maps layers, entities, and processes of each domain and subdomain, with native integrations for asset auto-discovery and management metrics — from observability to FinOps.
Layers, entities, and processes of each domain and subdomain mapped as a navigable graph. Explicit relationships, multidimensional navigation.
Native integrations with market tools and open standards for auto-discovery of applications, infrastructure, and data.
From technical observability to FinOps. Operational KPIs, cost per application, risk and quality — bound to graph entities.
Every principle, concept, and layer of Clara/EA is translated into entities, relationships, and governance within the tool.
Cases
Because it is universal, recursive and explicit about what each layer contains, Clara/EA works as a specification that AI agents can operate. In this series, an agent receives the method as its instruction and an organization's public disclosure as its only input — and returns the business architecture instantiated, domain by domain, with traceability back to the source.
Beyond the market cases, six applications of the framework led by the author in real projects — financial institutions, Open Finance, multinational retail, greenfield, insurance and data organizations. Explore the use cases →
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