Schedule Scenario Builder
L1 · Suggest
Builds alternative schedules for a season or a route change within fleet, crew and slot constraints, with route P&L estimated for each.
Agents that do the routine work across the airline value chain — reading fare rules, assembling recovery options, drafting refunds and matching settlements — on the governed data fabric. Policy decides what goes straight through; a named person approves everything else, and nothing safety-critical is ever decided by an agent alone.
These are agent designs from our AI & Agentic Engineering practice, mapped to the airline value chain. The fare-rules and virtual-interlining agents build on delivered travel-technology work; the live agent demo runs on banking sample data under the same controls.
Agents that prepare schedule scenarios, watch connection banks and size partner opportunities, so planners spend their time deciding rather than assembling data.
Builds alternative schedules for a season or a route change within fleet, crew and slot constraints, with route P&L estimated for each.
Checks hub banks against minimum connection times and terminal changes, and flags connections that are at risk or missing.
Searches the flight-network graph for O&D pairs where virtual interlining or a new partner would open itineraries the network cannot sell today.
See the interlining work →Agents that monitor competitor fares, forecast demand and draft pricing actions and group quotes for analysts to approve.
Monitors competitor fares and availability on priority markets and explains what changed and why it matters.
Drafts fare and inventory actions from demand forecasts and competitor moves, with the expected yield and load-factor effect.
Prices group and corporate requests against displacement and contract terms, and drafts the quote with its rationale.
The squad closest to our delivered travel-technology work: agents that read fare rules, assemble multi-carrier itineraries and keep content consistent across GDS, NDC and direct channels.
Turns unstructured ATPCO fare-rule text (CAT 16, 19, 31, 33) into structured penalty and discount data, with cross-category checks.
See the fare-rules case study →Builds multi-carrier itineraries outside interline agreements and checks MCT, terminal changes, baggage and transit-visa rules for each connection.
See the interlining case study →Compares offers for the same flight across GDS, NDC and direct channels and flags differences in fare, conditions or ancillaries.
Agents that rebook, draft refunds and compensation and prepare the service agent's next step — with a person deciding anything outside policy.
When the schedule changes, finds the best new itinerary for each affected passenger and drafts the notification.
Checks refund and compensation eligibility against the fare rule and passenger-rights rules, and drafts the decision.
Summarises the passenger's history and open issues for the contact-centre agent and suggests the next best action.
Agents that watch the operation and assemble recovery options for the operations control centre. Operational and safety decisions always stay with licensed people.
Combines movements, weather, ATC flow and rotations to flag flights likely to disrupt the day, with the knock-on effects.
Ranks recovery options — swaps, delays, cancellations — by cost and passenger impact, and shows the constraint behind each one.
Checks proposed crew changes against duty and rest rules and explains any breach.
Agents that track turnarounds, bags and cargo across handlers so problems surface while there is still time to act.
Follows turnaround milestones from every handler and flags departures at risk early enough to intervene.
Predicts bags at risk of missing a connection and drafts the recovery and passenger notification.
Checks cargo bookings for capacity, quality and documentation issues before acceptance.
Agents that read tech logs, watch reliability trends and prepare evidence. Airworthiness decisions are signed off only by licensed engineers.
Classifies free-text defect reports and tech-log entries with GenAI and links them to the right ATA chapter and history.
Watches sensor and defect trends for early signs of unscheduled removals and raises a finding with its evidence.
Checks airworthiness directives and service bulletins against the fleet configuration and drafts the applicability assessment.
Agents that match sales to settlements, explain breaks, flag leakage and draft commentary — controllers approve every entry.
Matches ticket and EMD sales against BSP, ARC and acquirer settlements and interline billing, and explains each break.
See CLARION reconciliation →Detects agency debit memo opportunities, refund anomalies and payment-fraud patterns, and assembles the evidence.
Drafts month-end route and network P&L commentary, tracing every number to its source.
Policy decides what goes straight through; people approve everything else; a kill switch halts all agents. The live demo runs on banking sample data — the same controls apply to every Airlines squad.