Less repeated work for ATC roster planners

Each planning period brings another round of availability checks, qualification checks and roster revisions. Automation can reduce repeated handling of those inputs while keeping the assignments available for planner review.

Compare more than one option

SkyRoster uses constraint solving to search for assignments against configured demand, qualifications, leave and rest rules. It aims to improve the weighted score within the configured search time.

The engine does not train a machine-learning model on staff behaviour or enumerate every possible roster. It does not guarantee a globally optimal or publishable result. Planners review coverage and remaining violations before publication.

Keep requests together

Leave and swap requests can be reviewed in the context of the roster rather than maintained through separate messages. Staff preferences can also inform generation according to the configured objectives.

This reduces repeated data handling and keeps requests available for the planner’s review.

Keep qualification records current

Store the relevant qualification and requirement records, including validity conditions and recent experience where supported. Use the information to review assignment eligibility and upcoming renewals.

The organisation remains responsible for accurate records and the rules applied. Maintaining a record in software does not itself renew a licence.

Measure the work saved

Measure the time spent preparing a representative roster, handling requests and reviewing changes. Include data preparation, configuration and training in the evaluation.

The practical question is which work the system can support and what review remains with the planner. Explore the platform or book a discovery call.

Technical correction, September 2026: the earlier machine-learning and exhaustive-search description has been replaced with the constraint-optimisation process. Historical free-plan instructions have also been removed.