This capability enhances queue handling by intelligently detecting two key scenarios where conversations would otherwise remain unserved:
Queue transitions to out-of-operating hours: The system continuously monitors active conversations that entered a queue before closing time. If the queue transitions to out-of-operating hours while conversations are still waiting, it automatically applies admin-defined overflow actions. Customers can be guided to leave a voicemail, request a callback, or be transferred to another available queue, ensuring a smooth end-of-day experience without manual intervention.
No service representatives are signed in: The system evaluates real-time representative availability. If all representatives assigned to a queue are signed out, it immediately triggers the configured fallback action instead of waiting for in-queue overflow timers. This is especially valuable in scenarios such as mass logout events, unexpected breaks, or holidays not captured in operating hours.
Administrators configure both scenarios using natural language prompts in conversation orchestration, enabling fine-grained control over queue behavior. This ensures customers are always routed to the best possible outcome, even when direct support is unavailable.
Business Value:
This capability ensures customers are never left waiting when representatives aren't available. Whether a queue transitions to be out-of-operating hours or all support representatives are logged out, the system proactively routes conversations to configured fallback options such as voicemail, callback, or alternative queues.
Organizations benefit from reduced wait times and lower abandonment, improved customer satisfaction during peak load or unexpected staffing gaps, and a more predictable service experience regardless of representative availability. At the same time, this eliminates the need for manual queue draining or extended shifts, helping protect service representative wellbeing while maintaining consistent service levels.
Enabled for:
Enabled by admins/makers/marketers for end users
GA date: October CY2026
Preview date: June CY2026