911 dispatchers can get real-time guidance during calls through AI software that listens to the live conversation, transcribes it as it happens, and surfaces protocol prompts and next-best-action suggestions on screen — without the dispatcher leaving their CAD. The AI recognizes the situation from what's being said (medical, fire, active threat, domestic), then quietly recommends the right next question or instruction. The human dispatcher stays fully in control; the AI only suggests.
This matters because the first 60 seconds of an emergency call set the tone for everything that follows. A dispatcher is doing five things at once — calming the caller, pulling an address, choosing a protocol, typing into the CAD, and deciding who to send. Real-time guidance reduces the cognitive load so the operator asks the right questions in the right order, every time, even on their busiest shift or their third month on the job.
What are protocol prompts and next-best-action?
Protocol prompts are on-screen suggestions tied to the type of call the dispatcher is handling. Next-best-action is the single most useful thing to do or ask right now, given what the caller just said. Together they act like a calm, experienced colleague looking over the dispatcher's shoulder.
Examples of what live guidance looks like on a call:
- Suspected cardiac event → prompt to confirm consciousness and breathing, then guide pre-arrival CPR instructions.
- Caller gives a landmark, not an address → prompt to confirm cross-streets or nearby businesses.
- Possible weapon mentioned → prompt to ask location of the weapon and whether anyone is injured, and flag for the responding units.
- Caller switches to another language → live translation so the call keeps moving without an interpreter line.
How does the AI know what to prompt?
It works from the live transcript. As the dispatcher and caller speak, the system converts speech to text in real time, classifies the type of incident from the words being used, and matches that to your agency's protocols. It can also detect audio events in the background — raised voices, alarms, certain sounds — and surface them to the operator.
The key design principle is human-in-the-loop: the AI never dispatches units, never closes a call, and never overrides the operator. It recommends; the dispatcher decides. Everything it surfaces is a suggestion the trained professional can accept, modify, or ignore.
Does this replace our CAD or our dispatchers?
No on both counts. Good AI call guidance sits on top of the CAD you already run — it doesn't rip out your dispatch system, and it doesn't replace the person. Dispatchers stay in the exact workflow they know. The guidance appears alongside, and the live transcript becomes the searchable record of the call.
The goal isn't to automate the dispatcher. It's to give every dispatcher the instincts of your most experienced one — on every call, in any language.
What else does real-time call AI give a dispatch center?
Beyond prompts, the same layer typically delivers:
- Live transcription — the transcript becomes the official, searchable call record, so you can find "what was said" without scrubbing audio.
- Live and voice-to-voice translation — round-trip under roughly 800ms in 10+ languages, so non-English callers are handled on the first call.
- Audio event detection — background sounds flagged to the operator as context.
- A defensible record — a time-stamped transcript for QA, training, and after-action review.
How to add real-time guidance to your dispatch center
- Map your protocols. Decide which call types matter most and what the ideal next question is for each. The AI's prompts should mirror the standards your center already follows.
- Confirm integration with your CAD / 911 network. The AI should connect to your existing dispatch environment (including State 911 / NG911) so dispatchers never switch screens.
- Keep the human in control. Configure the system to suggest, not act. No auto-dispatch.
- Pilot with a small team. Run it live with a few consoles, measure time-to-right-question and call handling, then expand.
- Use the transcripts for training. Review real calls to refine prompts and coach new dispatchers.
Where Axentra OmniCall fits
Axentra OmniCall is AI voice intelligence that sits on top of the CAD you already run — a co-pilot for every operator on every call. It delivers live transcription (the transcript becomes the searchable call record), protocol prompts and next-best-action, live and voice-to-voice translation in 10+ languages (round-trip under ~800ms, no interpreter line), and audio event detection. It integrates with State 911 / NG911 networks, municipal dispatch, and SIP/SIPREC — so the AI is invisible to the workflow and your dispatchers stay in their CAD.
OmniCall is human-in-the-loop by design: it recommends the next question, flags what it hears, and keeps a defensible transcript — but the dispatcher always decides. If you're trying to give newer operators the judgment of your veterans without changing your dispatch system, that's exactly the problem it's built for.
Want to see it on your own call flow? Talk to our team.