Efficient processing of fault messages in facility management with AI

Automation of tens of thousands of processes every year.

    The challenges of manual processing

    High expenditure of time and resources

    We use AI to optimize your healthcare processes and reduce costs. This ensures clear efficiency gains and profitable company management.

    Susceptibility to errors due to manual entries

    The manual recording and conversion of tickets often leads to errors, such as incomplete or incorrectly transmitted information. These errors lead to delays and increased effort in subsequent processes.

    High demands on specific knowledge

    Any contractual specifics of the respective operating site must be taken into account in order to ensure forwarding to the correct employee group. This necessary detailed knowledge increases complexity and requires constant employee training.

    The solution

    Automated processing with AI – fast, precise and effective

    Fault reports in facility management with AI
    The AI solution for processing fault reports in facility management was developed to sustainably optimize processes through the targeted use of artificial intelligence. By automating up to 70,000 processes per year, sources of error are effectively reduced, while time and human resources are saved. Thanks to the combination of in-depth industry expertise and state-of-the-art AI technology, precise, error-free and efficient processing is guaranteed.

    Our AI solution automates the processing of fault messages and converts them directly into maintenance orders. This saves you time, minimizes administrative effort and ensures error-free implementation. The specific requirements of each operating site are automatically taken into account so that the responsible technician is notified quickly and accurately – for smooth and efficient processing.

    Business benefits of the solution

    Maximize efficiency and reduce costs

    Our AI solution reduces manual effort, minimizes errors and significantly increases efficiency. As a result, you benefit from higher service quality and improved operational reliability.

    • Cost savings: Automation significantly reduces manual effort and lowers operating costs.
    • Efficient use of resources: Up to 85% less effort means more time for strategically important activities.
    • Error reduction: On average 50% fewer errors than with manual ticket assignment.
    • Faster response times: Minimization of downtimes during operation.
    • Scalability: The solution can be easily applied to additional objects.
    • Greater satisfaction: Improved service quality for technicians and users.

    Start now

    Discover your potential

    Discover with us how artificial intelligence can take your performance to a new level.
    Answer four short questions and we’ll show you customized ways to strengthen your strategy and overcome obstacles.

    • How are you currently using artificial intelligence?
    • What specific issues would you like to solve with AI in your strategy?
    • What are your biggest hurdles on the way to successful AI solutions?
    • See our modules: What helps you achieve your goals?

    Trust our experience! Get in touch with us and start your journey to effective AI solutions.

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    FAQ

    Frequently asked questions

    Here you will find an overview of frequently asked questions:

    FACT and Open LS combine their expertise to offer you customized AI solutions. FACT has in-depth knowledge of facility management, while Open LS has extensive experience in the development of innovative AI technologies. Together, we offer a practical and seamless integration of solutions.

    The speed of implementation varies depending on the use case. As a rule, a proof of concept can often be implemented in 1-2 weeks, with full implementation taking place in the following months. The availability of data and the complexity of the requirements are decisive for the time frame.

    Our workshops are led by 2-3 facilitators, including data scientists and AI specialists. We use the design thinking method to develop innovative ideas, which are then prioritized and concretized in an AI canvas, resulting in 2-3 concrete project outlines.

    In a proof of concept, we use the CRISP-DM approach (Cross Industry Standard Process for Data Mining), which offers a structured procedure for validating AI use cases. This proven approach is also used in the complete implementation support to ensure successful and sustainable integration of the solution into your business processes.

    We start with a one-day workshop to identify possible areas of application. This is followed by a proof of concept, which can often be implemented in 1-2 weeks to check feasibility. This is followed by the actual project phase, which can be completed in a further 3-6 months.