AI4SWARC – AI As A Tool In The Architectural Process

AI as a tool in the architecture processAI4SWARC is a newly developed training on using AI as a tool in the architecture process. The focus is on how AI-based tools can concretely support everyday architectural work—from requirements analysis to decision-making and documentation.

The AI4SWARC module addresses the use of artificial intelligence as a tool to support the architecture process—unlike the SWARC4AI module, which treats AI as part of the target architecture. The goal of this module is to enable architects and technical leaders to use generative AI and other AI technologies purposefully to make analysis, design, decision-making, and documentation tasks in daily architectural work more efficient and of higher quality. Participants also gain guidance on how architecture work can be reimagined in light of current AI developments, including associated risks, traceability, and ethical and regulatory guidelines.

What can you expect?You will receive practical guidance on how AI-supported analysis and decision support can be applied in the architecture process. One focus is on generative AI for architecture documentation, such as ADRs, models, and reviews.

Additionally, the course covers prompt engineering, agentic workflows, and automation ideas, as well as responsible handling of risks, traceability, ethics, and regulatory frameworks.

Participant prerequisites

• Solid understanding of software architecture and typical analysis, design, decision-making, and documentation tasks in daily architecture work

• Practical experience in requirements analysis, architectural documentation (e.g., ADRs), and review and communication situations in project contexts

• Willingness to use AI as a tool in the process and critically evaluate results for risks and traceability

Your benefits

• Understand how to effectively use AI as an assistant in the architecture process

• Gain confidence in AI-supported analysis and decision support in daily architecture work

• Learn how generative AI can assist in documentation and review situations

• Receive guidance on prompt engineering, agentic workflows, and automation in the architecture context

• Strengthen traceability and risk management in AI-assisted work

• Understand key ethical and regulatory guidelines for practical project use

Detailed training content

AI as a tool in the architecture process

• How AI can meaningfully support daily architectural work and where clear limits exist

• Overview of typical use cases to leverage opportunities without blind trust

AI support in requirements analysis and conceptualization

• Guidance on how AI can assist with structuring, analyzing, and clarifying requirements

• Focus on traceable results and clear accountability in the process

Generative AI for documentation, models, and reviews

• Use cases around architecture documentation and decision templates without diluting content

• Support for review situations and alignment to make results more communicable

Prompt engineering, agentic workflows, and automation ideas

• Practical guidance on how to prepare tasks so AI contributions are usable

• How to integrate assistance and automation in the architecture context without overengineering

Quality assurance and evaluation with AI support

• Use cases for evaluation and analysis in daily projects, from artifacts to runtime signals

• Orientation on simulation and digital twins as conceptual tools in the architecture context

Risks, traceability, and ethical/regulatory guidelines

• Handling typical risks to ensure AI results remain critically evaluable

• Overview of data protection, regulatory frameworks, and responsible use