Project control and monitoring tools are based on expert judgement and parametric tools. Projects are the means by which companies implement their strategies. However project success rates are still very low. This is a worrying situation that has a great economic impact so alternative tools for project success prediction must be proposed in order to estimate project success or identify critical factors of success. Some of these tools are based on artificial intelligence. In this paper, the authors will carry out a literature review of those papers that use artificial intelligence as a tool for project success estimation or critical success factor identification.