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Architecture for Flow: Building Foundations for Continuous Change
Wed, Nov 4
14:00
–
14:45
Stage 4
AT A GLANCE
Role
Independent Tech Consultant & Author of "Architecture for Flow"
Organisation
Self-employed
Category
Hero
ABOUT THE SPEAKER
Susanne Kaiser is an independent tech consultant and former startup CTO with over 20 years of experience in software engineering and software architecture. She works with organizations on building adaptive, socio-technical systems by combining Wardley Mapping, Domain-Driven Design, and Team Topologies into a holistic approach. Susanne is the author of the book "Architecture for Flow” (Addison-Wesley Signature Series (Vernon), 2025).
TALK
Architecture for Flow: Building Foundations for Continuous Change
AI is making it easier than ever to write code and build software. Recent studies show that faster code generation doesn’t yet translate into faster value delivery. Accelerating individual parts of the system doesn't necessarily improve the performance of the whole. Existing architectural and organizational constraints, such as tightly coupled architecture, unclear ownership, and blocking dependencies between teams, can still slow down the flow of change. To benefit from AI acceleration, we need to look beyond code and optimize for both value delivery and future ability to change . This talk shows how Architecture for Flow helps organizations build foundations for continuous change, by combining Wardley Mapping, Domain-Driven Design, and Team Topologies to design adaptive socio-technical systems optimized for a fast flow of value and feedback.
Key takeaways:
- Why AI speeds up writing code but not shipping it, and where the flow of change gets stuck
- How to decide where to spend ownership capacity and where to maximize learning, when building is cheap but owning isn’t
- How bounded contexts preserve the ability to change, and why consistent domain language matters to both humans and LLMs
- How to align teams and platforms to customer-driven streams of change
- Why these foundations aren’t new, but matter more than ever, because AI amplifies whatever foundation you have
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