
Students learn how to prepare ChatGPT for schedule analysis, structure prompts, provide project context, and use AI appropriately as a scheduling assistant.
Students learn how schedule information can be prepared and provided through XER and Excel formats for AI-assisted review.
Students learn how to review schedule quality and identify issues such as missing logic, constraints, float concerns, sequencing problems, and other schedule-health indicators.
Students learn how to compare schedule versions, identify date movement, delays, improvements, forecast changes, and emerging schedule risks.
Students learn how to examine relationships, dependencies, logic paths, critical/driving activities, and investigate why milestone dates are changing.
Students learn how AI can help interpret scheduled activities, develop preliminary crew-planning assumptions, and review whether planned resources align with upcoming work.
Students learn how to transform technical schedule findings into concise, professional, actionable review comments for contractors and project teams.
Students learn how to combine schedule preparation, quality checks, forecast comparison, logic analysis, planning support, and review comments into one repeatable monthly review process.
This course was created with the support of AI, reflecting the same practical approach it teaches: using AI as a tool to improve efficiency, structure, and analysis while keeping professional judgment at the center of the process.
Project schedule reviews can involve thousands of activities, relationships, dates, constraints, float values, and schedule changes. AI can help scheduling professionals analyze this information faster—but only when it is used with the right review process.
AI-Powered Schedule Review is a practical course designed for schedulers, planners, project controls professionals, project managers, engineers, and construction professionals who want to use AI tools such as ChatGPT as part of their schedule review workflow.
This course focuses on practical applications rather than AI theory. You will learn how to prepare schedule information for AI review, work with schedule data from XER and Excel files, evaluate schedule quality, analyze logic and critical paths, compare schedule updates and forecasts, and identify potential schedule risks and inconsistencies.
You will also learn how AI can support crew planning, help organize schedule findings, and transform technical observations into clear and professional review comments.
Throughout the course, the emphasis is on using AI as an analytical assistant—not as a replacement for professional scheduling judgment.
By the end of the course, you will understand how to build a structured and repeatable AI-assisted schedule review process that can be applied to monthly updates, contractor schedule reviews, project controls reporting, and schedule analysis.
Topics covered include:
Setting up ChatGPT for schedule review
Working with XER and Excel schedule data
Schedule quality and health review
Logic and relationship analysis
Critical and driving path analysis
Forecast and schedule update comparison
Delay, improvement, and variance identification
Crew and resource planning support
Creating professional schedule review comments
Building a repeatable AI-assisted review workflow
This course is designed around real-world project controls and scheduling workflows, with an emphasis on practical techniques that can be applied immediately to project schedule reviews.