AI is on almost every team's agenda.
Very few teams are using it productively.
We see these three challenges in almost every team:
Uneven AI fluency across the team
Some employees use AI every day and work much more efficiently. Others barely use it, if at all. The result is uneven knowledge, inconsistent performance, and untapped potential across the team.
AI is being used
without a strategy
AI is being used here and there, but without a structured rollout, scalable workflows, or a shared plan. Everyone builds their own solutions, and no broader strategy emerges.
No clear view of where AI actually helps
Most teams know AI matters. What is often unclear is which tasks are suitable, which tools fit, and where to start in a practical way. AI stays abstract instead of becoming a practical tool.
When generative AI is meant to be more than isolated experiments, teams need a clear starting point. The AI Adoption Sprint brings shared orientation, clear guidelines, and three practical workflows into a format built around your team's real work.
The AI Adoption Sprint
Initial call, tool and use-case selection
In a 60-minute initial call, we get to know your starting point. Which tasks repeat every day? Where are the friction points? Where could AI help in concrete terms? From there, we tailor the sprint to your team. If you do not yet have the right AI tool in place, we support the selection and introduction of GDPR-compliant solutions.
Outcome: a clear roadmap tailored to your team.
Session 1
Build shared AI fluency across the team
In the first workshop, we bring your team to a shared level of AI understanding. We clarify what generative AI can actually do today, where its limits are, and what safe, useful application looks like in everyday work.
Outcome: your team can work more effectively with AI and develop strong prompts independently.
Session 2
Tailored workflows for your team's daily work
Based on the initial call, we develop three AI workflows for your real tasks and present them in the second session. Research, document creation, communication, and knowledge synthesis: each workflow is tailored to your day-to-day work and ready to use immediately.
Outcome: three custom AI workflows your team can use right away.
What our clients say
Experience grounded in real AI work
Since 2022, Daniel Strauss has helped companies translate generative AI into workflows their teams can understand, trust, and use. He started as one of Germany's first prompt engineers at the digital agency i22, where he led the company-wide AI initiative, developed internal training for more than 100 employees, and advised major clients including Deutsche Telekom and congstar on generative AI.
Today, he works with clients in Germany and the United States, developing practical workshops, custom AI assistants, and concrete workflows for knowledge-intensive teams. In 2024, he also developed the AI Thinkspace Masterclass with Kathi Zull, delivered across three live cohorts with more than 200 participants in total.