The purpose of this article is two-fold, first to help organisations better understand the challenges of starting AI-projects and second how to systematically approach them. The intended target audience are C-level executives and managers who are considering to invest in AI-solutions for their business. During the last year we at Webstep have worked on developing a system and a process to facilitate the start-up of machine learning projects. We loosely follow the CRISP-DM (Cross Industry Standard Process for Data Mining) methodology: starting with business understanding, assessing the AI-readiness within the organisation, identifying promising areas for AI and finally finishing with deployment or evaluation depending on the project goal. In this article we describe an example of how we applied the methods and system in a project for an organization that works with forecasts.