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Business Process Manager & AI Developer: Key roles for the future!

Business Process Manager

The digital transformation is changing the way companies around the world work. In Germany in particular, two roles are becoming increasingly important: the business process manager and the AI developer. According to the latest LinkedIn report "Jobs in Trend 2025", they are among the most in-demand professions. But why are these two disciplines in particular so crucial for the future? And how can companies really make the most of the opportunities presented by digital transformation? That's exactly what this article is about!

Why business process managers & AI developers are becoming indispensable

In the digital era, it's not just about implementing new technologies. Rather, the question is: how can these technologies be meaningfully integrated into existing processes? This is where business process managers and AI developers come into play.

  • Business Process Manager: They are the architects of company processes. Their task is to analyze and optimize existing processes and transform them into future-proof structures. Only with a well thought-out process design can digital technologies such as artificial intelligence (AI) really unfold their potential.
  • AI developers: They are the experts for implementing AI technologies that help companies to automate and optimize processes. AI can help to analyze data, accelerate decisions and achieve efficiency gains. However, without a solid process foundation on which to build these technologies, the potential often remains untapped.

The crucial link between business processes and AI implementation

There is a simple but very apt quote that gets to the heart of the problem: "If you digitize a shitty process, then you'll end up with a shitty digital process."

This means that if existing business processes are inefficient or faulty, it is of little help to simply digitize them. The success of AI initiatives depends to a large extent on how well the underlying processes are already optimized. Otherwise, AI solutions will only lead to problems occurring more quickly and on a larger scale.

Example: A company implements an AI-based Solution to automatically process incoming invoices. The AI is supposed to extract and categorize invoice data and forward it to the accounting department. However, there are no uniform guidelines for approvals in the company and many invoices contain unclear or incomplete information. The AI processes this unclear data further, leading to incorrect postings and delays in payment processing. The technology makes the process faster, but it does not solve the fundamental problem of a lack of data standards and clear approval workflows.

It is therefore crucial to first carefully examine and redesign business processes before introducing AI. This is the only way for companies to ensure that their investments in AI actually deliver the desired added value.

Business Process Manager

How strategic process optimization maximizes the use of AI

The key to success lies in strategic process optimization, which goes hand in hand with the introduction of AI. This process can be divided into three main steps:

  1. As-is analysis: A thorough inventory of current business processes is the first step. Which processes are running well? Where are there weaknesses? This helps to identify the areas where AI can bring the greatest benefit.
  2. Target process definition: The next step is to define an ideal target process. What should the optimized process achieve? Which KPIs are decisive? This step is crucial in order to make the process future-proof and scalable.
  3. Integration of AI: This is followed by the selection and implementation of AI solutions. These must be integrated into the redesigned processes in order to achieve their full effect. This involves not only introducing the technology, but also ensuring that it supports and drives forward process optimization.

This holistic approach ensures that AI is not just incorporated as a technology, but acts as a real catalyst for change.

The Inkubit approach: your partners in the digital transformation

At Inkubit , we understand that digital transformation is much more than just the use of new technologies. It's about critically questioning existing processes and optimizing them in a targeted manner in order to integrate AI and other digital solutions profitably.

Our portfolio includes:

  • Process analysis and optimization: We help companies to analyze their existing processes, identify weaknesses and improve them through sustainable process optimization.
  • Implementation of AI technologies: We offer customized AI solutions tailored to your specific business processes to drive efficiency and innovation.
  • Methods to ensure long-term success: With our value-added and results-centric project methodology, we maximize the chances of long-term success and ensure that companies not only introduce the technologies, but also actually benefit from them.

Through this integrative approach, we ensure that companies can derive the greatest possible added value from the digital transformation and the introduction of AI technologies.

Conclusion: Ready for the future

The future of work will be significantly shaped by business process managers and AI developers. Companies that successfully combine these two roles are best placed to remain competitive in the digital age. After all, without sound process optimization and the targeted use of AI, digital transformations often fall short of expectations.

The next challenge: Ensure a successful transformation process by analyzing and redesigning your business processes and supplementing them with the right AI solutions. We at Inkubit are at your side as a partner - to ensure that your digital transformation is not only successful, but also sustainable.

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