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Many AI tools look impressive in demos, but quietly fail when projects depend on dates, versions, and changing requirements. Models may mix old and new documents, ignore effective dates, or misinterpret deadlines—creating hidden risks for project success. This webinar focuses on how project professionals can work smarter with AI while staying in control of time‑sensitive information. Using real‑style examples, we will explore where AI can safely help with schedules, requirements, and documentation, and where human judgment must stay firmly in charge. Attendees will learn simple ways to think about temporal data (dates, versions, SLAs), how to ask better questions of AI tools, and how to build basic checks into their plans and governance so that AI becomes a reliable assistant instead of a source of surprise.

Many AI tools look impressive in demos, but quietly fail when projects depend on dates, versions, and changing requirements. Models may mix old and new documents, ignore effective dates, or misinterpret deadlines—creating hidden risks for project success.