SoEA4EE Workshop

Motivation and Scope

Enterprise Engineering (EE) is the application of engineering principles to the design of Enterprise Architectures (EA). It enables deriving the Enterprise Architecture from the enterprise goals and strategy, and aligning it with the enterprise resources in the Computing Continuum. Enterprise architecture maps the enterprise goal and strategy to the enterprise’s resources (actors, assets, IT supports) and supports the evolution of this mapping. It also provides documentation on the assignment of enterprise resources to the enterprise goals and strategy, e.g., for establishing new business models such as platforms and multi-sided ecosystems. 

The SoEA4EE workshop focuses on the paradigm of encapsulating digital resources and capacities as services for enterprise architecture. The workshop aims to develop concepts and methods to assist the engineering and management of service-oriented enterprise architectures (SoEA) and the software systems supporting them in the Computing Continuum. 

The 2026 edition places special emphasis on the transformative impact of Agentic AI on enterprise architectures. Autonomous AI agents are becoming active participants in business processes, capable of negotiating, orchestrating, and consuming services across enterprise boundaries. This raises fundamental questions about the adequacy of existing EA notations and frameworks in a world where both human and artificial agents shape enterprise behavior.

Topics for Discussion

During the workshop we will discuss the following topics:

1. Agentic AI and AI-Native Enterprise Architectures

• Foundation models and autonomous AI agents as architectural components

• Multi-agent systems and inter-organizational service orchestration

• Generative AI as a tool in Enterprise Engineering

• Trust, explainability, and accountability of AI agents in EA

2. Platform Ecosystems and Multi-Platform Networks

• Multi-platform network architectures and value creation paths

• Digital enterprises, Industry 4.0 and Platforms ecosystem governance

• Pervasive service ecosystems in the Computing Continuum

• Building service (value) nets consisting of business, software, platform and infrastructure services

3. Digital Enterprises and Industry 4.0 in the Computing Continuum

• New trends in digitization for EA and EE, e.g.., Industry 4.0, platforms

• Impacts of digitized products and digital twins on EA

• EA - contributions and challenges for digital transformation, Industry 4.0, and platforms

• Fitting SoEA with cloud, edge, and fog computing 

• Pervasive service ecosystems

• Context awareness and service orientation in ubiquitous computing

• Low-code/no-code platforms and their impact on EA governance

4. SoEA and influencethe Influence of Artificial IntelligenceAI, Social Information Systems, and Big Data

• Trends in SoEA leveraging AI, social information systems, and big data in Enterprise Engineering(volume, variety, velocity, veracity)

• Trends in SoEA to use the capabilities of Artificial Intelligence 

• Impacts of AI, social information systems, and big data  (volume, variety, velocity, veracity)on SoEA

• Impacts Data-driven monitoring of Artificial Intelligence, social information systems, and the fulfilment of non-functional requirements (big data on the SoEA

• Use of ChatGPT, IoT, etc. as component of Enterprise Architecture.)

• Generative AI as tool in Enterprise Engineering

5. Alignment of Enterprise Goals and Strategy with the SoEA

• Interdependencies between services and business goals

• Concepts and methods to align services with the business strategy

• New potentials and trends created by services to reengineer business processes

• Quality issues, Compliance, and non-functional requirements for SoEA

6. Quality, Sustainability, and Sustainability

• Coherence of services with compliance requirements (among others, GDPR, EU AI Act, ISO/IEC 27001 and 27002, ISO 15408)

• Benchmarks and key performance indicators for services

• Approaches for the continual improvement of services

7. Design and Lifecycle of SoEA

• Specifications of business, software, platform, and infrastructure services

• Matching business services with business processes

• Lifecycle of business, software, platform, and infrastructure services

• Data-driven monitoring of the fulfilment of non-functional requirements (big data, IoT, …)

• Approaches the continual improvement of services

8. Governance of SoEA

• Impacts of SoEA on the compliance and governance requirements

• Meta-services for business, software, platform, and infrastructure services

• Building service (value) nets -consisting of business, software, platform and infrastructure services

• Impacts of VUCA (Volatility, Uncertainty, Complexity, Ambiguity) on the governance of EA