Delivery path
We follow one consistent logic: strategy that leads to action, people-first adoption, and prototypes over slide decks. These are the concrete steps we run with you.
1–2 weeks
We start by listening. Using our dialogue platform, we involve employees, leadership, and key stakeholders. We map pain points, concerns, current experiments, and readiness levels to build an honest baseline.
1–2 weeks
We look at your workflows, data, and decision-making structures — together with your team. Which processes are repetitive, error-prone, or slow? Where is knowledge not documented? Where would AI support have the most impact? This produces a prioritized list of concrete starting points.
1 week
We bring the insights together and define a shared picture of where AI can help — and where it should not be used. This aligns expectations early and reduces friction later.
2–4 weeks
Based on the shared baseline, we develop a clear plan: 3–6 prioritized actions, a phased timeline, and clear decision points. Not what would be technically possible — but what makes sense for your company right now.
4–8 weeks
Instead of reports, we build something testable. Depending on the case, we either introduce an existing tool properly or build a custom prototype, such as a knowledge assistant grounded in your own data. The goal is always a working answer to a real question.
4–8 weeks
A good prototype is the starting point. We support rollout with training, communication, and practical guidance so solutions are actually used. Where enterprise-grade custom implementation is needed, we coordinate specialist partners.
