01 / CREW AI
One view of the roster
Current crew-planning interface with synthetic sample duties.
CREW AI · Crew planning & recovery
Build the roster. Understand the tradeoffs.
Bring crew planning, bidding, qualifications and disruption recovery into a connected operations workspace. Compare options with the evidence that matters, then validate the plan before publication.
Email me the brochure (PDF · 4.2 MB)An example workflow · CREW AI
Explore a recovery. Review it before applying.
An operational change affects planned duties. The planner needs an alternative that can be checked against current rules and crew records.
- 01
Inspect the affected plan
Review duties, crew records, and the operational change in the planning workspace.
- 02
Review a proposal
Explore a planning or recovery proposal and inspect the resulting assignments and uncovered work.
- 03
Review and apply
Inspect coverage and any crew callouts, then use the Disruption Desk approval action to apply the reviewed option.
The resulting record
A reviewed recovery option applied to the roster, with the approval recorded.
The human decision
The planner reviews coverage, confirms off-duty availability, and authorizes the roster change.
Inside CREW AI
See the work, from start to finish.
Explore the current product interface with demonstration data. Open any screenshot for a closer look.
02 / CREW AI
A planning overview
Crew, qualifications and roster activity in the current console.
03 / CREW AI
The people behind the plan
Crew roles, bases and profiles in the current console. Built-in synthetic sample data.
Capabilities
The details that keep work moving.
Crew planning, roster optimization and disruption recovery with controlled AI assistance.
Operational roster planning
Build and validate rosters through bidding and planning workflows, with duty constraints, qualifications, locked commitments and crew preferences.
Disruption recovery
Work affected duties and available crew through a recovery solve, inspect its legality and coverage, then review a proposed recovery before approval.
Qualification readiness
Expose missing, expired or unsupported credential evidence and inspect aircraft and route eligibility across a selected planning horizon.
A common roster view
Review flight duties, training, leave and manual commitments by crew or calendar, with vendor standby identified separately from local assignments.
Workforce and scenario planning
Compare schedule demand, crew supply, leave and training constraints. Use simulation to explore staffing, reserve and economic assumptions.
Costs and crew pay
Model trip costs and crew credit with explicit settings and a separate pay workspace, making the financial consequences of planning choices visible.
A crew self-service portal
Give crew their own place for duties, standby, bids, pay and leave while planners work in the operations console.
A traceable operations history
Inspect recorded changes and assistant tool activity. Long-running optimizer work carries durable job status rather than depending on a chat window.
Applied AI
Ask about the operation. Review the action.
The assistant uses the same bounded tools as the product's connected workflows, keeping explanation and operational authority visible.
Answers grounded in tools
Ask about crew, schedules, qualifications or disruption. The assistant retrieves operational evidence and exposes the tools consulted.
Planning through proposals
Move from a question to a simulation, recovery or optimizer proposal card. State-changing actions remain behind explicit human confirmation.
Privacy and access controls
Administrative scopes, identity aliases for model-bound context and recorded tool access govern how operational information reaches the assistant.
Evaluate CREW AI
Make the next step measurable.
Agree a representative sample and a baseline from your current process. These are proposed evaluation measures, not published performance results.
Bring a representative example
A representative roster, current constraints, and a disruption scenario.
Inspect the complete workflow
Compare proposals with the existing roster and run operational validation.
Compare with your baseline
Planning time and solver runtime; uncovered duties; constraint violations; roster cost.
Questions & answers
Before you book a demo.
Can CREW AI operate independently of Aurora?
Yes. CREW AI has its own crew operations console, backend and self-service portal. Aurora is not a prerequisite for reviewing CREW AI.
Can the AI assistant change a published roster?
The chat assistant reads operational state and runs bounded simulations. Changes are presented through controlled workflows and require human confirmation.
Does the optimizer preview prove that a roster is ready to publish?
No. The Coverage Feasibility Preview is a theoretical diagnostic. Use the operational Bidding workflow to build, validate and publish a roster with the required evidence and constraints.
See CREW AI in action
Request a demo Start with your workflow.
A focused walkthrough, with the people and decisions that matter to your team.