During the kick-off we clarify goals together, train the project team, and define the scope of the analysis. In parallel we examine data availability and quality along the relevant end-to-end processes—typically order processing.

Within one week we systematically identify concrete potentials for AI together with your core team—for example to increase transparency, automation, or forecasting accuracy. We focus on clearly defined operational challenges with realistic solution paths.

For the top potentials we create standardized use-case one-pagers: description of the problem, objectives, technical approach, expected benefits—supplemented with measurable KPIs and rough estimates for time and effort.

Using agreed criteria (e.g., business impact, feasibility, data availability) we evaluate the identified use cases together. The result is a solid prioritization that distinguishes “quick wins” from strategic levers.

Finally, we develop a realistic, phased implementation plan for the prioritized use cases. The roadmap covers short-term pilot projects as well as medium-term initiatives—aligned with your resources, goals, and IT landscape.