Digital transformation is changing the way businesses around the world operate. Especially in Germany, 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 sought-after professions. But why are these two disciplines so crucial for the future? And how can companies really exploit the opportunities of digital transformation? That’s exactly what this article is about!
Why Business Process Managers & AI Developers Become Essential
The digital era is 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 in.
- Business Process Manager: They are the architects of the company’s processes. Their task is to analyze and optimize existing processes and transfer them into sustainable 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 in implementing AI technologies that help companies automate and optimize processes. AI can help analyze data, accelerate decisions, and achieve efficiency gains. But without a solid process foundation on which these technologies are built, 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 flawed, it is of little help to simply digitize them. The success of AI initiatives depends in large part on how well the underlying processes are already optimized. Otherwise, AI solutions will only cause problems to occur faster and on a larger scale.
Example: A company implements an AI-based solution to automatically process incoming invoices. The AI is supposed to extract invoice data, categorize it and forward it to the accounting department. However, there are no consistent guidelines for approvals in the company, and many invoices contain unclear or incomplete information. The AI further processes this unclear data, leading to erroneous bookings and delays in payment processing. Technology makes the process faster, but it doesn’t solve the fundamental problem of missing data standards and clear approval workflows.
That’s why it’s crucial to first closely examine and redesign business processes before AI is introduced. This is the only way companies can ensure that their investments in AI actually bring the desired added value.
How Strategic Process Optimization Maximizes AI Use
The key to success lies in strategic process optimization that goes hand in hand with the introduction of AI. This process can be divided into three main steps:
- Analysis of the current situation: A thorough inventory of current business processes is the first step. Which processes are running well? Where are the weaknesses? This helps to identify the areas where AI can provide the most benefit.
- Target process definition: The next step is to define an ideal target process. What is the optimized process supposed to achieve? Which KPIs are decisive? This step is crucial to make the process future-proof and scalable.
- Integration of AI: Now comes the selection and implementation of AI solutions. These must be integrated into the newly designed processes in order to be able to develop their full effect. Not only is the technology introduced, but it is also ensured that it supports and drives process optimization.
This holistic approach ensures that AI is not only built in as a technology, but acts as a real catalyst for change .
The Incubit Approach: Your Partners in Digital Transformation
At Inkubit, we understand that digital transformation is much more than just the use of new technologies. The aim is to critically question existing processes and optimize them in a targeted manner in order to profitably integrate AI and other digital solutions.
Our portfolio includes:
- Process analysis and optimization: We help companies analyze their existing processes, identify weak points 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 for securing long-term success: With our value-added and result-centered project methodology , we maximize the chances of long-term success and ensure that companies not only adopt the technologies, but also actually benefit from them.
Through this integrative approach, we ensure that companies can derive the greatest possible added value from digital transformation and the adoption of AI technologies.
Conclusion: Ready for the future
The future of work will be largely shaped by business process managers and AI developers. Companies that successfully combine these two roles are in the best position to remain competitive in the digital age. Without sound process optimization and without the targeted use of AI, digital transformations often fall short of expectations.
The next challenge: Ensure a successful transformation process by analyzing, redesigning, and supplementing your business processes with the right AI solutions. At Inkubit, we are at your side as a partner – so that your digital transformation is not only successful, but also sustainable.
