{"id":351206,"date":"2025-07-20T06:35:23","date_gmt":"2025-07-20T04:35:23","guid":{"rendered":"https:\/\/sauldie.org\/de\/tooltest-kiroi-schritt-2-ki-tools-fuer-entscheider-2\/"},"modified":"2025-07-20T06:35:23","modified_gmt":"2025-07-20T04:35:23","slug":"tooltest-kiroi-step-2-ki-tools-for-decision-makers-2","status":"publish","type":"post","link":"https:\/\/risawave.org\/en\/tooltest-kiroi-schritt-2-ki-tools-fuer-entscheider-2\/","title":{"rendered":"Tool Test in Action: KIROI Step 2 for Decision Makers"},"content":{"rendered":"

Within the scope of digital transformation, targeted Tooltest<\/b> increasingly important. Especially for decision-makers, the KIROI Step 2 offers with the Tooltest<\/b> a structured way to systematically test AI-based tools and tailor them precisely to specific company requirements. The goal is not only to superficially assess the practical relevance, user-friendliness, and integration capability of the tools, but to put them through their paces in realistic scenarios.<\/p>\n

Practice-oriented evaluation in tool testing for decision-makers<\/h2>\n

The Tooltest<\/b> begins with a precise analysis of individual requirements. Decision-makers clearly define the use cases, so that the tests can be tailored to concrete, practical situations. For example, in manufacturing, it is tested how AI-controlled systems for quality inspection can detect defects and reliably document them. In IT-supported service processes, the focus is often on automating routine tasks, while in the financial sector, the accuracy and reliability of risk analysis with AI tools is tested.<\/p>\n

Only by simulating realistic scenarios can it be shown whether the tools actually support everyday work or whether there are weaknesses in operation or integration. In doing so, the Tooltest<\/b> not a one-off action, but an iterative process with multiple test cycles to enable continuous optimisation and adjustments.<\/p>\n

BEST PRACTICE with one customer (name hidden due to NDA contract)<\/h3>\n

In a mid-sized manufacturing company, AI-based maintenance software was trialled as part of a tool test. Support from transruptions coaching helped to define clear objectives and systematically evaluate the test results. This allowed technical challenges to be identified early on and comprehensive adjustments to be made before the system was implemented under real-world conditions. Employees reported a noticeable increase in process reliability and a high level of acceptance for the solution.<\/b><\/i><\/p>\n

Success factors for a robust tool test<\/h2>\n

An effective Tooltest<\/b> integrates different disciplines early on: IT experts, management, and operational teams communicate regularly. This creates a holistic picture that combines technical possibilities and organisational frameworks. Users provide valuable feedback, which helps to increase user-friendliness and acceptance.<\/p>\n

Furthermore, transparent documentation and comprehensible assessment criteria are crucial. The systematic recording of all test results creates a sound basis for decision-making. In this way, companies avoid misinvestments and promote sustainable acceptance of new technologies.<\/p>\n

For example, a media company used the tool test to compare different AI-powered text creation tools. The focus was on text quality, customisability and workflow integration. The structured approach led to high team acceptance and successful implementation in day-to-day editorial work. Likewise, a healthcare provider tested various documentation solutions. The key here was ease of use coupled with high data security to best support the users. In the logistics sector, the focus was on integrating tools for route planning that could capture real-time data and react flexibly to changes.<\/p>\n

Valuable impulses through transruption coaching<\/h3>\n

Transruption coaching supports companies on projects relating to Tooltest<\/b>. It supports clearly formulating needs, making test processes transparent, and promoting communication between stakeholders. This way, unnecessary stumbling blocks are identified and eliminated early on. Furthermore, the coaching motivates teams to pragmatically transfer the insights gained into their daily work to ensure sustainable use.<\/p>\n

In retail, for example, the coaching helped to practically test various AI tools for demand forecasting. The tests showed which tools reliably provide forecasts, taking seasonal fluctuations into account. At the same time, user-friendliness for employees was assessed to promote broad acceptance. Such practical examples illustrate how closely consulting and structured testing are intertwined.<\/p>\n

Tool testing as a key element for informed decisions<\/h2>\n

In the KIROI Step 2, the Tooltest<\/b> an essential step for making technology-oriented decisions factually and across departments. Those who approach this hurdle with a methodological framework will benefit from:<\/p>\n