How are AI transformation initiatives evaluated and developed?
AI Transformation / Results & Management
Acceptance and trust on the part of managers and employees are essential for collaboration with artificial intelligence. These must not be lost immediately the moment the AI makes a mistake—or when the AI’s performance falls short of their expectations.
Acceptance of and trust in AI are measurable and can be actively influenced. Coping with errors, disappointments, and failures is much more difficult in the context of AI—in the relationship between humans and machines—than it is in relationships among humans. Important questions arise in this collaboration: Are responsibilities and decisions truly distributed appropriately? What needs to be adjusted and optimized?
The learning process for both humans and machines is ongoing. Evaluating, managing, and further developing measures for AI transformation requires a transparent and reliable structure, which we will build together with you as part of our consulting services.
AI Evaluation and Optimization
Effective modules from the AI Readiness Check are combined with specific methods. Ideally, these measures should be part of the overarching organizational development in the context of digital transformation.
- Measurement and Evaluation
AI performance is compared with the development of trust and acceptance to identify significant correlations. Online surveys, focus groups, and in-depth interviews have been proven effective for this purpose. - Reflection and Learning
Face-to-face dialogue among leaders and employees is essential for examining the collaboration between humans and machines. Quality circles or lessons-learned sessions, for example, are proven tools. - Optimization and Focus
Based on the results, ongoing measures are consistently and transparently improved, halted if necessary, or new activities launched. This also includes changes to the structure and functionality of AI applications. -
AI Becomes an Integral Part of Management and Leadership
We are continuously improving our collaboration between humans and machines so that artificial intelligence delivers added value for managers, employees, and customers.
AI evaluation improves the governance and security of artificial intelligence, which are the foundations of any successful AI management and leadership.
We're ready to help you with your AI transformation. We'd be happy to discuss the best approach to meet your needs and align with your plans. Please send a message directly to Managing Director Prof. Dr. Michael Groß.
Email Michael Groß