Our
AI solutions
Beyond the Demo
How companies are overcoming the AI productivity paradox
Around 95% of enterprise GenAI pilots fail to achieve a measurable return on investment. Many projects remain at the experimental stage, proof-of-concepts never reach production, and even where AI is deployed, its economic impact is often limited.
The causes of this AI productivity paradox lie outside the technology itself. The real problems are organisational in nature. In Germany, 64 per cent of employees use AI tools at least occasionally. This is a high adoption rate by international standards. Individual productivity gains are therefore already taking place, but are not being implemented at company level.
Companies that focus on specific problems, systematically integrate informal use, redesign workflows and set realistic goals can turn the promise of AI into real value creation
We support companies in overcoming the AI productivity paradox. Together, we identify relevant use cases, prioritise them according to their value and feasibility, and develop scalable AI solutions. This enables AI to generate measurable value in everyday business operations.
AI-powered Production
RAIIN:
The new world of AI image production
RAIIN is transforming the way companies and agencies produce visuals: faster, more flexible, yet true to the product, compliant with corporate identity guidelines and compliant with EU law. This enables high-quality image production without compromising on quality, brand impact or security.
AI-powered Insights
GEO:
From link lists to answers
GEO shifts the focus from traditional search results to generative answers. Anyone wishing to feature in AI searches needs content with depth, structure and trust. Search is evolving from a list of links to a dialogue.
AI-powered Experiences
The future of UX
AI is expanding the possibilities for designing user experiences. Interfaces are becoming more conversational and systems are becoming more context-sensitive. AI agents are also emerging as new users of digital products. Content, data and touchpoints must therefore be made equally understandable to both humans and machines.
AI-powered Operations
Agent-based systems
in marketing
Agent-based AI systems make marketing more productive, precise and efficient. The results in scalable workflows, consistent outcomes and measurable added value – from supporting concept development through to content quality assurance.
