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Since the start of the AI revolution around two years ago, technology companies have faced a twofold challenge: on the one hand, as developers and providers of AI solutions, they are driving the transformation of entire industries and playing a key role in determining the pace and direction of change. On the other hand, they themselves are required to utilise these technologies effectively internally in order to remain competitive in an enormously dynamic market.

But how are these companies currently managing this balancing act? How do they ensure that they are shaping rather than chasing developments? And what challenges need to be considered when it comes to implementing AI? Answers to these questions are provided in the report "The intelligent tech enterprise".

Over 1,390 managers worldwide were surveyed for this report, including 187 from the tech industry. In addition, experiences from more than 500 AI projects were analysed.

Up to 16 percent EBITDA growth is possible, in particular through increased productivity, automated risk monitoring, code optimisation and more efficient supply chains.

Five key AI trends are currently emerging that will affect many industries in the future: the emergence of new markets and ecosystems, accelerated product development, usage-based business models ("New SaaS"), human-agent collaboration and hybrid forms of organisation, which are already being used by 53% of companies.

It is also clear that trust is the decisive accelerator. Without a clear direction and safety precautions for the use of AI, any transformation will remain piecemeal, both internally and externally.

With the "Enable, Embed and Evolve" guide, the report provides assistance for AI transformation in companies.

Companies define an AI vision, appoint responsible parties, identify relevant use cases and promote AI expertise in a targeted manner. Initial pilot projects are launched on scalable platforms, and ethical and regulatory requirements are taken into account at an early stage.

AI is integrated into processes, products and services. Centralised management coordinates operating model adjustments, training and the establishment of trustworthy structures. AI agents, cloud architectures and modern governance mechanisms are used.

In the third phase, new ecosystems, business models and partnerships emerge. Companies use AI to rethink entire value creation systems.

Benefit from the experiences of successful technology companies on how an AI transformation can be implemented in a structured way and download the report "The intelligent tech enterprise".