AI Use Case Exchange: Applying Agentic AI to Reduce Reporting Burden, Identify Risk & Improve Scheduling Efficiency

• Building better scheduling prompts to interrogate updates, meeting notes, reports, and schedule data
• Using AI agents to simplify complex information, support analysis, and surface relevant actions faster
• Identifying practical use cases for reducing manual reporting, spotting schedule impacts, and improving risk visibility

Practical Takeaway: Leave with practical insight into how peers are experimenting with prompts, AI agents, and automation in real scheduling workflows, to save time, surface risk earlier, and improve schedule decision-making