Editor's Note: Business Capabilities are fundamental to Business Architecture, making it essential to understand how to implement them effectively. To help you navigate Capability-Based Planning, we've created the ultimate eBook, packed with insights, strategies, and practical guidance to set you on the right path. This blog post is an excerpt from the eBook, providing a glimpse into the valuable content you'll find inside.

The ArchiMate® modeling language becomes even more powerful when combined with other enterprise architecture and business standards. 

By integrating ArchiMate with frameworks such as TOGAF®, BPMN, or UML, organizations can achieve richer models, improved consistency, and stronger alignment between strategy, processes, applications, and technology. 

This synergy enables enterprise architects to create more comprehensive views, support collaboration across disciplines, and deliver greater value to transformation initiatives.

‘The future of enterprise architecture’ is increasingly intertwined with Generative AI, which isn't merely a fleeting trend. Generative AI is a transformative tool that can diagnose medical conditions by predicting machinery failure or directing traffic and goods flow. Moreover, its symbiotic relationship with machine learning (ML) reshapes IT structures and enterprise architecture.

In our previous blog, we outlined some of the most important changes in relationships in ArchiMate® 3.0. But there is more. In this article, we discuss updates related to the Grouping and Junction concepts in the ArchiMate modeling language. These improvements significantly enhance the expressive power of enterprise architecture models.

The Business Model Canvas is a practical tool to understand how your business creates, delivers, and captures value. In this article, we explore how analyzing your business model can help answer key questions about revenue, costs, and opportunities for improvement. Using a fictional case study, you’ll see how to apply this analysis and why the right tools make a difference.

Discover why you must incorporate enterprise architecture services as essential building blocks of your enterprise architecture management strategy, highlighting the business value they bring by aligning technology with business goals.

Architects must reduce the complexity of creating diagrams in their enterprise architecture modeling endeavors. Creating overly complex diagrams (with too many different types of concepts) often confuses stakeholders. 

Each viewpoint must address a specific concern, e.g., a Business Capability Map showing the organization's capabilities. In this blog, I'll focus on the application layer and provide practical examples using the viewpoint creation pattern. The examples are pretty generic, and they're meant as a starting point for professionals looking to learn more on the subject. 

It’s no good having a strategy if you can’t execute on it.

This year, for our fifth annual State of Enterprise Architecture report, we quizzed organizations on their ability to bring about change. In particular, we focused on how well they understand their capabilities and their insight into IT sustainability. We also asked about how they invest, and what the barriers to executing strategy are.

Respondents assessed their enterprise architecture maturity on seven criteria. We then worked out an average score and ranked the results. The top 25% of organizations we named “leaders”, and the bottom 25% are “laggards”. More than 500 enterprise architecture professionals and their colleagues took part.

We found that leaders invest more strategically, have a better understanding of their capabilities, and are way ahead in IT sustainability.

Download the State of Enterprise Architecture 2025 Report.

Digital transformation has become synonymous with progress. Every new platform promises agility, every integration the potential to scale, and every cloud migration a faster path to innovation. But beneath the surface of this rapid evolution lies a growing problem.

Not long ago, digital transformation was seen as a long-term strategic goal. Today, it’s a high-stakes sprint, with unprecedented urgency. In a world where AI reshapes industries monthly and macroeconomic volatility rewrites priorities overnight, the companies that survive — let alone lead — are those that can adapt faster than their competitors.