Plan of Day Staff Optimization
Description
TSA must deploy a dynamic solution capable of locally optimizing allocated employee staffing while load balancing available equipment and projected passenger throughput to ensure wait times do not exceed the threshold.
Detailed example
Staffing operations models prescribing when screening lanes should be opened/closed, when/where screening staff is required to absorb operational peaks, determining optimal gender and certification ratios, recommending when to schedule overtime/shift adjustments, drafting lane rotation plans, and informing national TSA staffing requirements as prescribed optimization plans deviate as airline schedules shift.
AI / analytics pattern
Agentic AI: AI systems that perform tasks or make decisions autonomously with minimal human intervention.
Automation level / stage
a) Pre-deployment – The use case is in a development or acquisition status.
Expected benefit
Plan of Day will automate TSA screening staff optimization.
Controls / human review
ATO: Not reported; PIA: Not published