Digital transformation is changing the way companies operate worldwide. In Germany in particular, two roles are becoming increasingly important: the business process manager and the AI developer. According to the latest LinkedIn report,“Trending Jobs 2025,” these are among the most in-demand professions. But why are these two fields in particular so crucial for the future? And how can companies truly capitalize on the opportunities of digital transformation? That’s exactly what this article is about!
Why Business Process Managers and AI Developers Are Becoming Indispensable
In the digital age, 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 Managers: They are the architects of business processes. Their role is to analyze existing workflows, optimize them, and transform them into future-proof structures. Only through well-thought-out process design can digital technologies such as artificial intelligence (AI) truly realize their full potential.
- AI Developers: They are the experts in implementing AI technologies that help companies automate and optimize processes. AI can help analyze data, speed up decision-making, and achieve efficiency gains. However, without a solid process foundation on which these technologies can build, their potential often goes untapped.
The Critical Link Between Business Processes and AI Implementation
There’s a simple but very apt quote that sums up the crux of the problem: “If you digitize a shitty process, you’ll end up with a shitty digital process.”
This means that if existing business processes are inefficient or flawed, simply digitizing them will do little to help. The success of AI initiatives depends largely on how well the underlying processes have already been optimized. Otherwise, AI solutions will only cause problems to arise more quickly and on a larger scale.
Example: A company implements an AI-based Solution automatically process incoming invoices. The AI is designed to extract invoice data, categorize it, and forward it to the accounting department. However, the company lacks standardized approval guidelines, and many invoices contain unclear or incomplete information. The AI continues to process this unclear data, leading to incorrect entries and delays in payment processing. The technology speeds up the process, but it does not solve the underlying problem of a lack of data standards and clear approval workflows.
That is why it is crucial to first thoroughly analyze and redesign business processes before implementing AI. Only in this way can companies ensure that their investments in AI actually deliver the desired value.
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 implementation of AI. This process can be broken down into three key steps:
- Current State Analysis: The first step is to conduct a thorough assessment of your current business processes. Which processes are working well? Where are the weaknesses? This helps identify the areas where AI can deliver the greatest benefits.
- Defining the Target Process: The next step is to define an ideal target process. What should the optimized process achieve? Which KPIs are critical? This step is crucial for ensuring that the process is future-proof and scalable.
- Integration of AI: The next step is to select and implement AI solutions. These must be integrated into the redesigned processes in order to achieve their full potential. This involves not only introducing the technology, but also ensuring that it supports and further drives process optimization.
This holistic approach ensures that AI is not merely integrated as a technology, but serves as a true catalyst for change.
The Inkubit Approach: Your Partners in Digital Transformation
At Inkubit , we Inkubit that digital transformation is about much more than just adopting new technologies. It involves critically evaluating existing processes and optimizing them in a targeted manner to successfully integrate AI and other digital solutions.
Our portfolio includes:
- Process Analysis and Optimization: We help companies 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 for ensuring long-term success: With our value- and results-driven project methodology, we maximize the chances of long-term success and ensure that companies not only implement the technologies but also actually benefit from them.
Through this integrated approach, we ensure that companies can derive the greatest possible value from digital transformation and the adoption of AI technologies.
Conclusion: Ready for the future
The future of work will be shaped largely by business process managers and AI developers. Companies that successfully combine these two roles are best positioned to remain competitive in the digital age. 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 enhancing them with the right AI solutions. At Inkubit you as your partner—so that your digital transformation is not only successful but also sustainable.
