The combination of Artificial Intelligence (AI) with the Scaled Agile Framework (SAFe), regulatory standards, and a Lean Quality Management System as Applied SAFe represents nothing less than a revolutionary turn in product development and introduction.

Imagine AI as the ultimate catalyst that drastically shortens development while enabling groundbreaking innovations. SAFe brings agility and scalability to a new level, while Lean principles maximize efficiency and customer value. In a world dominated by regulations and compliance, this dynamic alliance guarantees speed and creativity and ensures that each product meets the strictest regulatory requirements.

This is the key to gaining an edge in a fiercely competitive market and being recognized as a leader in innovation and quality.

And this is what we call ‘Convergence in AI’

Exactly one year ago, we started with a blog article about AI  as we published a talk with Chat GPT about lean quality management systems, compliance, and SAFe. This was quite astonishing for us, and it was also very pleasant to see that in the new SAFe version, there was a completely new and well-placed article for AI.

Despite all the applications we have seen with Applied SAFe, the thing that struck me the most was really the usage of artificial intelligence and its combination into a new thing that we call convergence.

And this is what we will be working on!
In fact, we are actually already working on this!

Convergence on the usage of AI.

We are exploring ways to use AI further as just a normal usage of ChatGPT. It’s one thing that we can ask an AI system questions and get appropriate answers based on the content of Applied SAFe in the context of the customer (under full privacy). This is already astonishing, but we are working on something that we call convergence, together with the data stored in various ALM tools like, for example, jira.

We are certain that we can ensure that the process and real content under development are working according to a company’s strategic themes, vision, and roadmap, and we can create stories based on existing epics and strategic themes. We have also seen that we can ensure that no content, like a feature or a story, contradicts a vision or duplicates content. Larger companies deal with more than 20’000 issues (stories, features, etc. ) in their databases. Nobody today has such massive data under control, and we can detect that.

Another feature we see is regulatory requirements: We feed the AI with the compliance perspective and generate, out of a combination of the process description and the regulatory requirements,  questions that can be asked to employees. Questions are asked to ensure that employees understand and can work according to the intent of the regulations. If something unsure is detected, the AI points out individual areas to improve, and hints will be given on how to improve in this area.

The aim is not just to know what is written in the Scaled Agile Framework (SAFe).
It’s understanding the intention and knowing how to deal with it in the most efficient and effective way!

How did we create the image?

We used the AI System DALL-E from Open AI to create the picture above with the following prompt:

ChatGPT 4, prompt for Dalle to generate a scenery and a picture.

And this is the result as a setting:

“To visualize the convergence of Lean Quality Management Systems, Applied Scaled Agile Framework (SAFe), Agility, and learning about regulated environments, I’ll create an image that symbolizes the integration of these concepts in a corporate or organizational setting.

Imagine a modern corporate meeting room with a large, table at the center. Around the table, there are several professionals, each representing different aspects of the concepts. One person, embodying Lean Quality Management, is displaying a diagram of efficient workflow processes. Another, representing Applied SAFe, has a laptop open with a scaled agile framework on the screen. A third individual, symbolizing Agility, is energetically discussing a flexible strategy with the group. Finally, someone representing learning in regulated environments is holding a book or document with regulations and compliance guidelines.

The room itself reflects a blend of these themes. Charts and graphs on the walls show metrics and KPIs relevant to quality management and agile practices. The atmosphere is dynamic yet structured, illustrating the balance between agility and adherence to regulations.

This scene will capture the essence of integrating these diverse yet interconnected disciplines in a professional environment.”

Talk with us!

As you read this article, we know that you are interested in a pragmatic solution.
So we would love to find out what you are looking for in reality and to see how we can be of any help towards your goals.

Let’s start talking!

Interested to see some case studies?

Check out the selected case studies below, or search for our other case studies here!

Skyguide - Applied SAFe in Aerospace

Sykyguide, a service organization for civil and military air navigation services has been using SAFe successfully and it was the wish of the company to leverage SAFe as the primary established product development process. Read in this case study how Applied SAFe was used as a solution to implement compliant SAFe processes, the benefits of the solution, and achieved results.

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Automotive Supplier - Lean Process Implementation

See how Applied SAFe was used to implement compliant SAFe processes and how to integrate with existing system engineering practices.


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Lean Process Transformation in a MedTech Organization

Discover how Applied SAFe helped a MedTech organization reduce its processes while still being agile.



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