Today, the process of scoping is a completely manual process; enterprise companies are losing an average of $66Bn through inefficiencies in IT and software project scoping leading to cost and timeline overruns. However, F500 companies are sitting on a treasure trove of data in their project management systems, git version control and workforce directories. We connect to this data via an API, and using ML models, predict how to build their software (technical tasks), how long projects should take (timeline) and who will execute (team) when starting a new project.