What if your team could spend less time chasing coverage and more time running the shift?

For many fire departments, scheduling has become a daily administrative drain, tracking trades, filling vacancies, managing overtime distribution, and maintaining compliance.

The result: hours spent on callbacks and spreadsheets, gaps discovered too late, and increasing pressure on chiefs to keep rigs staffed.

In this session, we’ll show how departments are moving from manual, reactive scheduling to a policy-driven, automated approach. You’ll see how AI-powered staffing recommendations can help fill shifts earlier, reduce last-minute vacancies, streamline trade management, and provide real-time visibility into hours worked, certifications, and staffing levels.

Join us to learn how to reduce administrative workload, better control overtime, and bring more structure and visibility to your staffing operation.

Key Takeaways:

✅ Understand how AI-driven staffing enables predictive, rather than reactive, shift filling.

✅ Reduce administrative workload with automated scheduling, trade management, and self-service tools.

✅ Control overtime costs with real-time visibility into hours worked, fatigue limits, and equitable distribution.

✅ Integrate scheduling seamlessly with personnel records, certifications, payroll, and other core systems.

✅ Evaluate implementation timelines and strategies for transitioning from legacy or manual scheduling processes.