AIP Use Case: AirCrew Scheduler AI Agent

AirCrew Scheduler AI Agent streamlines airline crew planning by bringing conversational automation to pairing, rostering, bidding, and day-of-operations recovery. It aligns flight schedules with crew qualifications, duty time limits, base assignments, and union/CAA/FAA constraints, producing decision-ready options and automating routine updates across planning systems.

Running on QueryPie’s AI Platform (AIP) with Model Context Protocol (MCP) integrations, the agent connects to flight schedules, crew profiles, training and qualification records, and operations control systems. Disruptions like delays, cancellations, or sick calls are explained in plain language with impact assessments. The agent proposes compliant recovery options—reassignments, reserve activations, or aircraft swaps—and can execute changes with approval gates while notifying affected crew via Teams/Slack/SMS.

Key capabilities include:

• Pairing and roster optimization

  • Generate legal pairings and roster lines respecting qualifications, duty/rest rules, and bid preferences

• Disruption recovery

  • Recommend recovery plans for delays/cancellations; simulate options against legality and cost

• Qualification and currency checks

  • Validate licenses, training currency, medicals, and aircraft/route qualifications before assignments

• What-if planning and analytics

  • Run schedule scenarios and evaluate crew utilization, cost, and fatigue risk

• Automated communications

  • Notify crew of changes, collect acknowledgments, and update ops systems with full audit logs

This use case reduces time to decision, enhances operational resilience, and improves crew satisfaction by aligning assignments with preferences and constraints. Operations control centers gain a conversational interface for complex scheduling logic, while safety and compliance are preserved through centralized governance, approvals, and auditable execution within QueryPie AIP.