Innovative solutions driving your business forward.
Discover our insights & resources.
Explore your career opportunities.
Learn more about Sogeti.
Start typing keywords to search the site. Press enter to submit.
Generative AI
Cloud
Testing
Artificial intelligence
Security
January 31, 2025
Traditional views often depict EA as a static set of blueprints, a rigid framework dictating the structure of an organisation’s IT landscape. However, a more nuanced understanding recognizes EA as a dynamic practice, a continuous process of sensemaking, decision-making, and adaptation. Remember the Sogeti DYnamic Architecture (DYA)? Just as the flow of a river is not only determined by its initial course but also by the terrain, the weather, and human interventions, EA is shaped by the ever-changing business environment, technological advancements, and organisational dynamics. This is the core of EA as a practice. It is not only about documents and blueprints, but rather about the continuous activity of doing architecture in an organisation. It is about guiding, planning, making and taking decisions about the future state of the enterprise, and how to get there.
Practice theory offers a valuable framework for understanding EA as a lived experience, not a thing. It emphasizes the importance of “doings” and “sayings” (Schatzki, 2001) – the actions, interactions, and shared understandings that constitute the practice of architecture. From a Dutch perspective, we can compare this to the practice of water management. It is not merely about having a plan for the dykes; it is about the ongoing activities of monitoring water levels, maintaining infrastructure, and coordinating responses to potential floods.
Similarly, EA practice involves many activities:
These activities are not linear; they are iterative and intertwined, much like the currents within a river. Each act of “doing” contributes to the flow of the EA practice, shaping its direction and outcomes.
The business environment is inherently complex and unpredictable, like the turbulent waters of a fast-flowing river. Chaos theory, with its focus on nonlinear dynamics and sensitive dependence on initial conditions, provides insights into how small changes can have significant, often unforeseen, consequences (Lorenz, 1963).
In the context of EA, this means that even the most meticulously crafted architectural plans can be disrupted by unexpected events, such as:
The metaphor of a river helps us visualise the dynamic and adaptive nature of EA practice.
Just as a river’s course is constantly being shaped by its environment, EA practice must be adaptive and responsive to change. This requires a mindset of continuous learning, experimentation, and collaboration. It is not about imposing a rigid structure but about fostering a culture of innovation and resilience. It is about anticipating and designing for change and emergence.
Enterprise Architecture, viewed as a practice, is not a destination but a continuous journey. It is about navigating the complex and often turbulent waters of the business environment, guided by a shared vision and a commitment to adaptation. By embracing the principles of practice theory and acknowledging the insights of chaos theory, we can develop a more nuanced and effective approach to EA, one that is as dynamic and resilient as the rivers that flow through our beautiful Dutch landscape.
Lorenz, E. N. (1963). Deterministic nonperiodic flow. *Journal of the Atmospheric Sciences, 20*(2), 130–141.Schatzki, T. R. (2001). Introduction: Practice theory. In T. R. Schatzki, K. Knorr-Cetina, & E. von Savigny (Eds.), *The practice turn in contemporary theory* (pp. 1–14). Routledge.
Enterprise Architect | Netherlands
To support agentic AI at scale, organizations need orchestration, governance, and modular architecture that ensures trus…
From self-reflection to collaboration, core agentic patterns enable AI systems to learn, plan, and act with purpose in d…
Agentic design patterns help organizations scale AI systems, maintain control, and ensure seamless integration across co…