Many companies start AI initiatives reactively – because a tool is currently popular, not because a concrete need has been identified. The result: misguided investments, unclear priorities, frustrated teams. In this talk from the Sustainability x AI series, Janika Ofterdinger and Kathrin Ruhnke (Nextra Consulting) show how a structured AI potential analysis makes the difference.
Pain Points Instead of Tools as a Starting Point
The crucial methodological shift: Not “What AI tools are available?” but “Where are we currently losing time, quality, or decision-making quality?” is the right initial question. The potential analysis starts with processes and pain points – and only then identifies where AI makes sense.
The Proven Workshop Format
The talk presents a concrete workshop format that has proven successful with Nextra clients many times: structured inventory of relevant processes, collaborative use case collection, evaluation based on value and feasibility, and finally a prioritized shortlist as a decision-making foundation – regardless of whether AI is already being used in the company or not.
What you will learn in this talk
- In which cases a potential analysis is useful and where its concrete added value lies
- How AI potential is identified based on pain points and processes – not tool-driven
- What typical next steps follow after the potential analysis
All future and past webinars can be found at: nextra-consulting.com/webinars.
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