PROFAHR.X and AI: Modern Technology for Reliable Processes in Everyday Transportation
Artificial Intelligence in Software Development
Hardly a day goes by without talk of artificial intelligence and its impact on our daily lives. It is becoming increasingly clear that AI is no longer an abstract technology of the future, but rather a tool that can create tangible added value—including in the day-to-day operations of transportation companies. When used correctly, it helps solve complex tasks more efficiently, makes knowledge more accessible, and noticeably reduces the workload for users.
In software development, artificial intelligence opens up new possibilities. Development processes can be accelerated, existing program structures can be analyzed more effectively, and functions can be modernized in a more targeted manner. For Profahr, this means that proven business logic is preserved, while the technical foundation becomes more future-proof, maintainable, and flexible step by step. The traditional programmer is not being replaced—rather, their expertise is complemented and enhanced by AI.
The way we use software is also changing. Users increasingly expect to find information more quickly, complete tasks more easily, and use systems more intuitively. AI can help in exactly these areas: It helps present complex content in a more understandable way, provide targeted answers to questions, and better prepare users for decisions in their day-to-day work.
Peak Mobility is strategically leveraging this trend to further develop Profahr and provide users with a modern, high-performance, and reliable workforce scheduling system for the long term. We are investing in AI-powered software development, strengthening the Profahr development team, and combining the stability of the existing system with the capabilities of modern technology. With Profahr.X, we are ensuring Profahr’s future viability—with the goal of simplifying processes, increasing transparency, and further enhancing the benefits for our customers in their day-to-day operations.
How is AI used in the migration of Profahr?
Profahr has been successfully used in production by numerous transportation companies for many years. This extensive practical experience is a major advantage: The existing features incorporate a wealth of technical expertise that has proven itself in day-to-day use and offers users significant value. At the same time, technology, requirements, and operating environments are constantly evolving. To ensure that Profahr remains powerful, flexible, and easily expandable in the future, its proven functionality is being gradually migrated to a modern technical environment. This preserves existing investments and tried-and-true processes—while also ensuring they are further developed to be future-proof.
AI solutions for software development can provide targeted support for this transformation process. They help systematically analyze existing program code, reveal the business logic it contains, and convert it into modern, well-structured code. In addition, relevant technical documentation can be generated. For Profahr customers, this means that proven business processes will remain in place, while the technical foundation will become more understandable, easier to maintain, and better prepared for future expansions.
This is precisely the approach currently being used at Profahr. Existing program code is analyzed using AI, structured, and converted into high-quality, modern code. This creates a robust foundation for Profahr.X—with the goal of accelerating further development, ensuring long-term quality, and enabling the company to implement new user requirements more quickly.
In addition, AI can also process verbal information. Well-formulated requirements or technical descriptions of a desired target state can be utilized more extensively in the future to prepare new functions in a targeted manner and implement them efficiently. As new features are expanded and implemented in Profahr.X, this approach will become increasingly important. For users, this opens up the possibility of incorporating business requirements into further development more quickly, more clearly, and in a way that is more closely aligned with actual work processes.
How does the use of AI add value during the software migration?
The use of AI in software development is a strategic investment in Profahr’s future viability. Since many AI-based code assistants are increasingly billed on a usage-based model, it is not always possible to accurately predict the specific costs in advance. At the same time, AI makes it possible to analyze existing program code more quickly, better highlight technical relationships, and prepare for modernization in a more structured way. Through careful task planning, clear definition of work steps, and the thoughtful use of AI resources, Peak Mobility ensures that the benefits take center stage: a more efficient transformation, a stable technical foundation, and faster further development in the best interests of users.
For Profahr users and customers, this does not entail any additional effort in the current development process. Peak Mobility covers the associated costs as part of its maintenance services. Profahr customers thus benefit from the system’s further development without placing any additional burden on existing functions or ongoing processes.
What benefits do Profahr users enjoy—and what are the associated costs?
Profahr’s existing functionality will be preserved as part of the current transformation. All program features currently available will continue to be usable at no additional cost. This ensures that Profahr customers benefit from a high level of investment protection: proven processes, business workflows, and existing user knowledge will be preserved while being transitioned into a modern technical future.
In addition, we are working with users—for example, through the user group—to explore how prompt-based AI applications can be effectively utilized in the future. Such applications can make Profahr even more intuitive: Users could enter simple questions or prompts, such as “Show me how the unscheduled shifts for tomorrow can be scheduled” or “How can I prevent this shift from being set to ‘Free’?” The AI assistant presents the information in an easy-to-understand format, thereby helping users prepare for scheduling decisions. This opens up new possibilities for grasping complex tasks more quickly, making available options more transparent, and specifically reducing the workload for users in their day-to-day operations.
How this new form of use will be implemented in practice will be decided in consultation with users at the appropriate time. This will allow for different requirements, IT specifications, and operating models to be taken into account—for example, local installations, cloud-based solutions, or hosting models. The AI assistants required for this do not need to match the high performance of the systems used in software development. As a result, the potential licensing costs are expected to be significantly lower and can be planned transparently depending on the model chosen. This gives Profahr customers the opportunity to access additional digital support without compromising their current usage or the proven features.
How does Peak Mobility ensure the safe and reliable use of AI?
The use of AI in software development offers great opportunities when it is carefully managed and supported by subject matter experts. Precisely because AI assistants operate very flexibly and can implement a wide variety of implementation requests, a clear, subject-matter-specific description of the requirements is particularly important. This ensures that new features are not only technically generated but also implemented in a way that is functionally correct, transparent, and in the best interests of the users. For Profahr customers, this means that further development is carried out in a structured, quality-assured manner, with a clear focus on stable processes during ongoing operations.
For Peak Mobility, it is therefore crucial that AI-based software development always be grounded in technical expertise, careful planning, and integrated quality assurance. The transformation of Profahr is carried out based on a structured migration plan and is supported by accompanying risk management measures. Another important factor contributing to stability is the decision to keep the Profahr database unchanged. This ensures that existing data sets, interfaces, and well-established processes remain protected. It will also be possible to run the classic Profahr and Profahr.X in parallel. This provides Profahr customers with additional peace of mind: proven system foundations are preserved, while the new solution is introduced and further developed in a controlled, step-by-step manner.
What’s next – and how will Profahr users benefit from this?
Profahr not only supports transportation companies with scheduling, billing, and analysis, but also reliably handles key administrative functions. These include personal user profiles, access rights, and complex location assignments, all of which play a central role in day-to-day operations. It is precisely these administrative functions that are currently being specifically enhanced so that Profahr.X can meet users’ current needs as well as future organizational and technical requirements.
The first versions of Profahr.X will be implemented and presented to users before the end of this year. This will give customers an early look at the new solution and allow them to follow its further development. At the same time, it will provide an opportunity to incorporate real-world requirements and gradually tailor the new generation of the system to actual workflows.
The migration plan is scheduled to be finalized toward the end of the year. At that time, all necessary development steps, the timeline, and the staffing requirements will be clearly defined. This provides planning certainty for Profahr customers: They will have a transparent framework for how the migration will be prepared, implemented, and supported. The migration is scheduled to be completed in the second half of 2027.
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