Introducing AI in the Workplace — Legal Framework and the AI Act
Navigate the legal landscape of AI implementation with guidance on GDPR compliance, EU AI Act requirements, and proactive risk management strategies.
Introducing AI in the Workplace — AI Implementation Strategy
An excerpt from the research work by Axel Wiemann (kiucon), Patrick Helmig (Omnifact), Sebastian Hennerici (Omnifact Academy), and Sven-Erik Holm (GvW Graf von Westphalen).
AI is transforming business models, making it a strategic imperative for companies seeking a competitive edge, with successful integration yielding significant benefits in efficiency and innovation. However, implementing AI requires a holistic strategy encompassing technological infrastructure, organizational change, and a culture of collaboration, along with careful consideration of ethical and legal implications.
Main Points
- AI is crucial for businesses to stay competitive and offers substantial benefits, but implementing it effectively presents significant challenges.
- A successful AI strategy involves identifying key processes, evaluating use cases, integrating AI into the overall business strategy, and building the necessary infrastructure.
- Organizational measures like establishing a competence center and managing change are essential for successful AI adoption.
- Companies must consider ethical and legal implications, build partnerships, and manage risks effectively.
- Continuous improvement, innovation, and a culture of learning are vital for long-term success with AI.
Introduction
Artificial intelligence has evolved from a visionary idea into a fundamental technology, rapidly permeating society and businesses. It holds the potential to profoundly transform business models and is far from a fleeting trend or isolated project; rather, it represents a strategic imperative for companies aiming to maintain and expand their competitiveness.
Current studies show that companies successfully integrating AI achieve significant advantages in efficiency, innovation, and market position. Projections suggest AI could generate trillions of dollars in global economic value by 2030. A 2021 McKinsey study found that 56% of surveyed companies were already using AI in at least one business area, with a strong upward trend. The rapid development of AI-based technological solutions across diverse applications makes it challenging for companies to quickly gain and maintain a structured overview of this complex and dynamic field.
About the Author
Axel Wiemann, CEO of Kiucon and seasoned serial entrepreneur, combines extensive experience in technology and business management with a focus on sustainable transformations and AI integration.