Architecture in the age of AI
In the age of AI, architecture does not become less important.
It becomes decisive.
Next open schedule version: May 2026
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Jonas Van Riel
A brand new training of xplus academy. AI has changed the way organizations work and will continue to do so. As architects, we play an important role in structuring change to ensure we transform organizations and deliver sustainable value from digital initiatives.
However, AI is here to disrupt the architect's work as well. In this training, we'll take an Enterprise-Wide approach to deliver sustainable value from AI, so architects know how to properly manage AI initiatives. Now and in the future.
Learn how architectural work changes for AI initiatives and help to turn ambition into sustainable enterprise value.
Artificial Intelligence is reshaping how organizations operate, compete, and innovate. The impact is organization-wide, the possibilities impressive. But successful AI adoption requires much more than experimenting with tools or deploying models. It demands deliberate architectural choices across business, data, applications, infrastructure, security, and governance.
This hands-on, applied training equips architects with the structure, language, and cross-domain perspective needed to guide AI initiatives responsibly and effectively. You will gain confidence in understanding how AI impacts every architectural layer and how to translate AI ambition into coherent, feasible, and value-driven solutions. You know what architectural work means in traditional digital initiatives; now learn what changes in AI-driven initiatives.
Throughout the training, we work with clear AI typologies and realistic scenarios that help you reflect on your own organization and understand how architectural decisions influence value, risk, and long-term sustainability.
You’ll learn to:
- Understand AI as a strategic disruptor and position it within enterprise transformation.
- Recognize the different AI typologies and how they impact business capabilities, value streams, and operating models (Impact on Business Architecture).
- Understand how data readiness and governance maturity are assessed as key success factors for AI (Impact on Data & Information Management & Architecture).
- Understand architectural integration patterns for AI services within existing landscapes (Impact on Application & Integration Architecture).
- Understand infrastructure, platform, and vendor choices from a cost, risk, and sovereignty perspective (Impact on Technology & Infrastructure Architecture).
- Understand AI-specific security and resilience challenges and contribute to mitigation strategies (Impact on Security and Resilience practices).
- Understand how to translate ethical, regulatory, and sustainability requirements into architectural constraints .
- Understand the relevance of governance and monitoring approaches for AI systems in operation.
- Understand how to evaluate the feasibility and portfolio impact of AI initiatives within enterprise transformation programs.
Throughout the program, theory is continuously connected to practice. You will explore concrete examples, discuss real-world trade-offs, and apply architectural thinking to AI use cases in a structured and pragmatic way. Learn from seasoned architects who have actually been in the field, helping to realize value from A.I. in complex transformation initiatives.
This training ensures that architects do not merely respond to AI initiatives, but actively help to shape them.
Next open schedule: May 2026
- Schedule: to be confirmed in March 2026
- Location: Online
- Price: €2.445,00
Registration or information below.
Program
Module 1 – AI as a Strategic Disruptor in Organizations
AI is more than a technology trend. This module positions AI within enterprise strategy and digital transformation, clarifying how different AI typologies create value and why AI initiatives require cross-domain architectural coordination.
Module 2 – Impact on Business Architecture
Explore how AI reshapes value streams, capabilities, processes, and roles.
Module 3 – Impact on Data & Information Management
Examine why data maturity is the primary success factor for AI. This module covers data quality, governance, ownership, pipelines, lifecycle management, and the architectural implications of organizing data platforms for AI-driven initiatives.
Module 4 – Impact on Application & Integration Architecture
How do AI components integrate into existing landscapes. Compare architectural patterns, evaluate quality attributes, and understand the risks and dependencies introduced by AI services and models.
Module 5 – Impact on Infrastructure & Technology Architecture
What are the infrastructure and platform implications of AI workloads? Explore delivery models, vendor strategies, cloud and compute requirements, and the architectural trade-offs behind technology choices.
Module 6 – Impact on Security & Resilience Practices
There are new AI-specific risks such as model manipulation, data leakage, and adversarial behavior. Learn how AI affects resilience, reliability, and security governance and what this means for architectural design.
Module 7 – Ethical, Regulatory & Sustainability Considerations
Get to know the ethical concerns, regulatory requirements (e.g., GDPR, AI regulation), and sustainability considerations into architectural constraints. Understand how AI influences fairness, accountability, compliance, and societal impact.
Module 8 – Running & Monitoring AI on a Daily Basis
As aechitects, we're not really involved in operations. But what we design, will have an impact down the road. Learn What it means to monitor models, manage drift, ensure traceability, govern retraining cycles, and embed feedback loops into operational AI systems.
Module 9 – Impact on Architectural Processes & Transformation Management
AI changes a lot. Get a take on the impact on governance, portfolio prioritization, feasibility assessments, and transformation roadmaps. Learn how to embed AI initiatives into structured enterprise change programs.
Self-paced learning + interactive sessions
Self-paced learning on our online platform covers basic concepts and more theoretical content.
For the Architecture in the age of A.I. training program, the self-paced learning period begins two weeks before the first of 4 interactive sessions. The timing allows you to prepare for each training day at your own pace.
During the interactive sessions, either online or in-person, we will dive deeper into specific topics and solve hands-on cases and exercises, making the most of your time with our experts.
4 training formats to fit your needs
Open editions
Trainees join a standard training alongside peers from other organizations — ideal for individuals or small groups.
Closed editions
We deliver our standard training in a closed session, exclusively for your team.
Tailored versions
We tweak an existing course and adjust examples, focus areas, and language to better match your organization’s structure and challenges.
Tailor-made courses
Need something entirely unique? We create a custom program from scratch, built around your goals, maturity level, and transformation roadmap.
We’re ready to help you transform.
Are you ready to transform your organization?
Our consultants provide pragmatic, tailored expertise, guiding you through structured, actionable steps. Contact us today, and together we’ll ensure your change initiatives are well-planned, effectively executed, and deliver lasting results.
