TransÂforÂmation and AI Adoption
Human-centered transÂforÂmation and AI adoption
Artificial intelÂliÂgence is fundaÂmenÂtally changing the world of work. We support you in not only introÂducing AI, but embedding it sustainably in your organiÂzation: with the right strucÂtures, a learning culture, and empowered teams.
AI adoption
What does your organiÂzation need to introduce AI sustainably and use it to create value?
Successful AI impleÂmenÂtation is far more than an IT project. It changes strucÂtures, processes, and above all the way people work. That’s why a holistic approach is crucial — one that keeps both technology and people in view and embeds AI where it creates real value.
Which dimenÂsions determine the success of AI adoption?
Where does your company stand when it comes to AI? Take the test!
Learn more in our free whitepaper
Download the whitepaper for free now and learn how sustainable AI adoption works. Our Human-Centered AI Adoption guide shows how companies introduce artificial intelÂliÂgence holisÂtiÂcally and with a people-first approach. Only available in German.
Deep Dive
Our approach: From measurement to sustainable embedding
- Baseline measurement: Know your starting point
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Before we act, we measure. With our AI Adoption Score, we systemÂatÂiÂcally capture how AI is currently used and accepted in your organiÂzation. We assess usage rates, attitudes, social norms, and employees’ perceived compeÂtence. This creates an objective data foundation and a shared picture of where your organiÂzation stands today — and where the biggest levers are.
- PriorÂiÂtiÂzation and concept develÂopment: Identify the right measures
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Based on the analysis, we develop a strucÂtured catalog of measures. Each measure is evaluated by effort, expected impact, and culture fit. This results in priorÂiÂtized blueprint concepts that are not only techniÂcally sound, but also organiÂzaÂtionally feasible and effective for people. Because effective AI adoption is based on underÂstanding human needs for autonomy, compeÂtence, and belonging.
- Piloting: Learning under real condiÂtions
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PriorÂiÂtized measures are piloted in a protected setting with selected user groups. These pilot projects provide practical insights, create tangible success experiÂences, and make the value of AI visible to the entire organiÂzation. In parallel, we continÂuÂously collect user feedback to iteraÂtively improve the measures.
- Second measurement: Make impact visible
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After the pilot, we measure again. The comparison with the baseline measurement shows how usage, accepÂtance, and attitudes toward AI have changed. These insights feed directly into further develÂopment and form the starting point for the next adoption cycle.
When people achieve more together.
In one sentence
OrganiÂzaÂtions are also just people.
We are convinced that sustainable AI adoption only succeeds when people are at the center. Our ambition is not only to support organiÂzaÂtions in introÂducing AI, but to empower them to actively shape the change and benefit from AI in the long term.
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