Tips for Setting Expectations in AI Projects

Managing expectations is critical for the success of AI projects, as stakeholders often misunderstand the probabilistic nature of the technology. It is best to avoid promising specific performance metrics early, instead using a preliminary phase to assess feasibility and establish baselines. Key strategies include mapping stakeholder needs, focusing on business impact over purely technical metrics, and openly discussing the trade-off between model accuracy and interpretability. Additionally, planning for deployment from the start and being transparent about the costs of Generative AI are essential for aligning the project with realistic business goals.