The optimization of business processes is crucial for companies in order to work more efficiently, reduce costs and secure competitive advantages. By integrating artificial intelligence (AI), processes can not only be automated, but also intelligently optimized. AI-supported solutions enable recurring tasks to be completed efficiently, complex data to be analyzed and data-driven decisions to be made.

Many companies face similar challenges when it comes to the efficiency of their processes:

• Manual and error-prone processes: Many processes are time-consuming and dependent on manual input, which can lead to errors and delays.
• Heterogeneous data sources: Information is available in different formats or systems, which makes efficient processing difficult.
• Lack of scalability: Existing processes are often unable to cope with increasing requirements and volumes.
• Data analysis: Complex data makes it difficult to gain relevant insights and incorporate them into decisions.

With AI-based approaches, companies can not only automate their processes, but also continuously improve them. The solution comprises the following core components:

1. Automated data collection and processing:

• AI-supported tools such as Optical Character Recognition (OCR) and Natural Language Processing (NLP) extract and structure data from various sources (e.g. documents, images, emails).
• This automated data collection reduces manual effort and the susceptibility to errors.

2. Intelligent validation and optimization:

• AI models can be used to check, supplement and improve data. This ensures that processes run error-free and efficiently.
• AI analyzes process data to identify weak points and identify opportunities for improvement.

3. Structured and scalable results:

• The data obtained is provided in a standardized, structured format (e.g. JSON or Excel) so that it can be seamlessly integrated into existing systems.
• AI-based prediction models optimize the use of resources and make processes more scalable.

4. Flexibility and adaptability:

• The AI solutions adapt dynamically to new requirements and data formats, which enables long-term optimization.

The use of AI for process optimization leads to measurable improvements:

• Time savings: Manual activities are automated, freeing up employees' time for value-adding tasks.
• Greater accuracy: AI minimizes errors that can arise from manual input.
• Cost reduction: More efficient processes lead to savings in operating costs.
• Data-based decisions: AI analyzes process data in real time and provides a sound basis for decision-making.
• Scalability: Companies can easily adapt processes to increasing requirements.

Example: An AI system for invoice recognition and processing reduces processing time by 80 %, improves data quality and saves up to 50 % of the costs per transaction.