During the kick-off we align on goals, onboard the project team, and define the scope of the assessment. In parallel we review data availability and quality along the relevant end-to-end processes—typically order-to-cash.

Within one week we systematically identify concrete AI opportunities with your core team—for example to boost transparency, automation, or forecasting accuracy. We focus on well-defined operational challenges that have a realistic solution path.

For the top opportunities we draft standardised use-case one-pagers: problem statement, objectives, technical approach, expected value, measurable KPIs, and rough timelines as well as effort estimates.

Using aligned criteria (e.g., business impact, deliverability, data readiness) we assess every shortlisted use case together with your stakeholders. The outcome is a grounded prioritization that distinguishes quick wins from strategic levers.

Finally we build a realistic, phased delivery plan for the prioritized use cases. The roadmap spans short-term pilots and medium-term initiatives—aligned with your resources, objectives, and IT landscape.