Getting started in practice: discovering and testing tools
A key aspect of the second step is familiarising yourself with the various tools and technologies and applying them in practice. This is not just about evaluating the individual tools, but also about gaining an understanding of how they work and the specific fields of application. Practical experience has shown that targeted trial and error is the key to success. Those who test different solutions quickly recognise which technologies help to optimise processes or open up new potential.
Application examples from the industry
In the field of logistics, for example, the use of AI-supported tools enables more precise demand forecasting and optimised route planning. Companies that have tried out these technologies report measurable increases in efficiency and improved resource utilisation. AI tools in marketing also offer the possibility of automatically generating personalised campaigns and thus refining the customer approach - a major advantage in highly competitive markets.
KIROI BEST PRACTICE at company XYZ (name changed due to NDA contract) In industry, the targeted use of AI-based analysis tools has significantly improved production planning. After an extensive test phase, a tool was identified that uses historical data to independently create forecasts and thus optimise inventory management. This significantly reduced storage costs, while at the same time increasing delivery capacity.
AI tools are also opening up new opportunities in the area of customer service. Automated chatbots that respond to natural language, for example, can answer enquiries more quickly and thus increase customer satisfaction. However, the continuous adaptation and improvement of these systems requires prior testing and learning in order to develop customised solutions.
KIROI BEST PRACTICE at ABC (name changed due to NDA contract) There, customer feedback was analysed with the help of AI-controlled text analysis tools in order to identify weaknesses in service at an early stage. By regularly testing various tools, a system was implemented that automatically extracts relevant topics and derives recommendations for action for the team.
Methodical approach: Testing with concrete examples
Different tools should be trialled systematically: Firstly, the individual requirements are determined, then tools with different orientations are selected and tested in pilot projects. The variation in usability, integration into existing systems and customisation options for the respective industry can be decisive here. Obtaining feedback from the user teams is essential.
KIROI BEST PRACTICE at DEF (name changed due to NDA contract) An AI tool was used in the production environment to automatically analyse machine data and detect faults at an early stage. After intensive testing, it was found that the intuitive visualisation of the data can also be used by employees without in-depth technical knowledge with just a few simple steps. This result led to rapid implementation throughout the plant.
In addition, by trying out different AI tools, it is easier to assess which investments actually bring high benefits and which are more of a gimmick. Especially for companies that are just starting out with the use of technology, practical familiarisation offers many learning opportunities and promotes the acceptance of new solutions.
Utilising and understanding technological diversity
The range of AI tools available is broad: language models support text creation and idea generation, image generators create visual content and algorithms for data analysis help to recognise patterns in large amounts of information. It is important to carefully examine how these tools can be integrated into the existing workflow and which requirements they need to fulfil.
One example is the use of AI-generated quizzes and interactive learning games, which make knowledge transfer in the education sector considerably more efficient. Speech synthesis tools can also be used to create convincing audio files or podcasts, opening up new communication channels.
My analysis
The targeted application and testing of AI tools are essential in order to achieve sustainable success as part of a systematic approach. Only those who actively test the various possibilities can identify the right tools and use them effectively. Companies benefit from taking the time to test different technologies and thus continuously refine their individual toolbox.
Further links from the text above:
[1] Step 2 of the KIROI strategy: Explore practical examples of tools
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