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AIROI - Artificial Intelligence Return on Invest: The AI strategy for decision-makers and managers

28 May 2025

Tool test in KIROI step 2: How decision-makers choose AI tools

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The path to the optimal selection of digital tools often begins with a well-structured Tool test. This step plays a central role in the KIROI process, especially in the second step, where companies identify suitable solutions in a targeted and systematic manner. This is not just about technical features, but also about how tools can be integrated into everyday working life and what specific benefits they provide. A well-founded Tool test supports decision-makers in creating a reliable basis for their decisions and effectively driving forward the digital transformation.

Tool test in KIROI step 2: The structured selection process

The selection of suitable digital tools begins with a detailed needs analysis. For example, manufacturing companies examine early warning systems that recognise potential disruptions in production at an early stage. Marketing departments, on the other hand, test automation tools for monitoring the competition and optimising campaigns. Office organisation teams rely on tools that can be smoothly integrated into existing software landscapes and also meet data protection requirements.

The Tool test in KIROI step 2 is iterative: it not only serves to compare functions, but also to evaluate user-friendliness, scalability and process compatibility. In this way, companies ensure that the selected solutions bring practical benefits and are sustainable in everyday working life. One manufacturer from the mechanical engineering sector was able to Tool test For example, we were able to identify a visual quality control system that significantly reduced error rates and relieved the strain on operators at the same time.

Best practice: How companies implement the tool test in a targeted manner

Successful decisions start with clearly defined use cases and cross-functional teams that bring in different perspectives. For example, when testing AI-based risk analysis tools, a financial services provider can not only check their accuracy, but also ensure their integration into existing compliance systems. Similarly, a customer service provider evaluates tools in terms of their user-friendliness in direct dialogue with customers.

BEST PRACTICE with one customer (name hidden due to NDA contract) A planning tool was tested in KIROI step 2 at a medium-sized logistics company. The aim was to optimise supply chains with AI-supported route planning. The targeted tool test not only identified cost savings, but also showed that a certain complexity of the solution reduces the practical benefits. The findings were directly incorporated into the adaptation of the requirements, which strengthened acceptance among employees in the long term.

Another important aspect is the documentation of all test results. This is the only way to utilise findings transparently and comprehensibly for later decisions. Marketing departments use this step to evaluate automation tools in terms of their efficiency in campaigns through realistic tests in live operation. The IT department of a healthcare provider also ensured that data protection and data security were perfectly complied with before a documentation tool was implemented.

Important criteria for the evaluation in the tool test

In addition to the technical features, a practice-orientated selection takes particular account of:

  • User-friendliness and acceptance by users
  • Compatibility with existing systems and data sources
  • Adaptability to specific company processes
  • Cost transparency and possible follow-up costs
  • Scalability within the company
  • Data protection and security standards

In the manufacturing industry, for example, visual inspection systems could be tested using these criteria to enable sustainable quality assurance. In the financial sector, great importance was also attached to the possibilities of data encryption and legal compliance.

Practical tips for a successful tool test

To ensure that the tool test is effective, it is advisable to observe the following points:

  • Conduct joint workshops with specialist departments and IT
  • Simulate real use cases or test them in pilot operation
  • Prioritise and transparently evaluate criteria
  • Regularly collect and document feedback from end users
  • Focus on agile and iterative adaptation of the test process

In the logistics sector, for example, companies benefit from testing AI solutions with pilot groups before rolling them out in order to identify bottlenecks in real time. Service providers in customer service follow a similar approach, using chatbot solutions on a trial basis and listening to user feedback before rolling them out on a large scale.

My analysis

The Tool test in KIROI Step 2 is much more than a technical comparison: it is a methodical approach that provides companies with security and guidance when selecting digital tools. It demonstrates the importance of a structured process that involves all relevant areas of the company. Different sectors - from production to financial services and logistics - benefit from customised test procedures to integrate the right tools in a sustainable way. This is how the Tool test a solid basis for the success of digital transformations and provides impetus for learning organisations.

Further links from the text above:

Focus on tool testing: How to succeed in step 2 of the KIROI process

Testing the tool: How step 2 of the KIROI methodology works

Tool test in KIROI step 2: How decision-makers find the right digital tool

Tool test in KIROI step 2: How decision-makers find the best AI tools

AI tools for companies: The best solutions to increase efficiency

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#BestPractice #BigData #compliance #Data intelligence #DigitalTransformation #Ethical guidelines 1TP5InnovationThroughMindfulness #KIROIProcess #artificial intelligence #Sustainability #SmartData #Software selection #Tooltesting 1TP5Corporate culture #Chains of responsibility

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