AI-Enabled Foresight Innovation

What changes when AI enters innovation foresight? Where does it genuinely help, and where does it quietly make things worse? How do teams avoid getting ‚busy' with AI while decisions stay unclear? And what does it take to use AI as a sparring partner without giving up human judgement and responsibility?

In this session, Sivert von Saldern and Julian Menninger will show how we use AI to strengthen the work without turning it into noise, and how we keep quality and accountability firmly human-owned. Expect to learn more about:

• How we at Z_punkt approach AI in innovation foresight, and the principles we use to decide where AI helps and where it does not
• What we have learned about making AI use reliable in day-to-day work, including review points and simple standards that prevent 'convincing but fragile' results
• How we structure AI-supported work from early scanning to decision-ready outcomes, and what we do to keep long-term direction and short-term change in one coherent view
• Where AI tends to create the most value in our practice, and how we keep expectations realistic without losing ambition

Leave with a clear sense of what a disciplined, human-led AI approach looks like in innovation foresight, and what you can take into your own work right away.