AI-Powered Deflection & Intelligent Dispatch

Overview#

The AI-Powered Deflection and Intelligent Dispatch module lets a conversational AI agent handle routine emergency and non-emergency calls while human dispatchers keep full visibility and control, with live transcripts, AI-generated handoff summaries, and one-action takeover of any AI-handled call.

During a major incident, a dispatch centre's phone lines fill with calls that range from genuine emergencies to status enquiries from concerned residents. Every second a dispatcher spends on a routine enquiry is a second not spent on the situation requiring immediate action. This module addresses that pressure directly: routine calls are deflected to the AI agent, and complex cases reach human operators with full context already assembled.

The module augments rather than replaces human dispatchers. Deflection behaviour is configured in the dedicated emergency-centre administration area, gated to administrators so that centre-wide AI settings never change from a live operator screen. In the console itself, operators work from a single live AI handoff board: they monitor every AI-handled call, read live transcripts and AI-generated summaries, and take over any call with one action based on their professional judgement.

Key Features#

Automated Call Deflection: A conversational AI agent handles routine emergency and non-emergency calls, freeing dispatchers to focus on situations that require professional judgement.
Configurable Deflection Thresholds: Administrators set the thresholds that determine which calls the AI agent handles, and can tighten or relax them for different operational periods without touching a live operator screen.
Live AI Handoff Board: A single board in the dispatch console lists every AI-handled emergency and non-emergency call with its duration, escalations, transcript preview, and linked-incident status, with open and hide controls for the live transcript and an AI-generated handoff summary for rapid context transfer. The board only ever shows real live calls, never simulated data.
One-Click Human Takeover: Operators transfer an AI-handled call to themselves with a single action over a takeover path hardened for reliability. Reviewing the transcript and summary first means the caller never has to repeat themselves, and a caller re-engagement strip helps operators reconnect after an AI interaction.
Live AI Call Workbench: An AI dock stays docked in the console and activates only when a real call or AI handoff is in progress, organising augmentation, coordination, and support intelligence into lanes around the live call. An inline AI training assistant lets operators practise without leaving the console.
Administrator-Governed Configuration: AI call-deflection settings live in the dedicated emergency-centre administration area rather than the live operational dashboard, with administrator-only gating on AI controls. Administrators choose the live AI provider, the synthesised voice, and country-specific standard operating procedure guidance packs, and manage greeting audio; configuration and administrative forms are excluded from the live call cockpit.
Console Automation Rules: Per-workstation rules auto-assign eligible calls by priority, skills, and workload, sound critical alerts, enable a priority-only interruption mode during active incidents, and capture transcripts and translations automatically on call connect. An active-rule summary shows the current automation posture at a glance, and defaults restore in one click.
Escalation Visibility: When an AI-handled call needs human intervention it escalates into the human dispatch workflow, and each call's escalations appear on the handoff board so supervisors can see exactly where attention is needed.
Resilient Multilingual Console: The dispatch console operates in the supported platform languages, and every console label carries a guaranteed English fallback, so a missing translation bundle never blanks an operator's screen mid-call.

Use Cases#

Emergency Call Triage: Deflection thresholds keep genuine emergencies with human dispatch while routine calls go to the AI agent, so operator queues stay clear for situations that need immediate action.
Non-Emergency Call Handling: The AI agent handles routine non-emergency enquiries without dispatcher involvement, and every such call remains visible on the handoff board for oversight.
Dispatcher Workload Management: During high-volume periods, AI deflection absorbs the surge of routine calls while human dispatchers focus on complex and urgent situations that require professional judgement.
Call Surge Supervision: During a call surge, low-acuity calls handled by the AI agent appear on the handoff board, where a supervisor monitors progress across every AI conversation and can take over any call instantly.
Shift-Based Tuning: A centre manager tightens the AI deflection thresholds for overnight shifts from the administration area without touching any live operator screen.
After-Hours Coverage: Outside peak staffing hours the AI agent continues to answer routine calls, and anything it escalates reaches on-duty operators through the standard handoff workflow.

Integration#

This module integrates with the emergency call-taking console for live call handling and with the platform's realtime AI layer for conversational voice capabilities, including administrator selection of the live AI provider, the synthesised voice, and country-specific standard operating procedure guidance packs. Deflection configuration is managed alongside telephony, compliance, wellness, and procedure-library settings in the dedicated PSAP administration area, while live monitoring and takeover of AI-handled calls take place on the handoff board in the dispatcher console. Linked-incident status on the handoff board connects AI-handled calls to the platform's incident workflow.

Open Standards#

NENA i3 / NG9-1-1 (NENA-STA-010.3): The intelligent dispatch layer is designed around the NENA i3 functional architecture, following its Emergency Services Routing Proxy model for policy-based PSAP routing and the Emergency Incident Data Object schema for structured incident handoff.
LoST, Location-to-Service Translation (RFC 5222): Location-based routing follows the LoST protocol for resolving the appropriate PSAP for a caller's location before a deflected or escalated call is dispatched.
PIDF-LO, Presence Information Data Format Location Object (RFC 4119 / RFC 5491): Caller location is represented in the PIDF-LO format, giving the dispatch engine standards-based geo-context at the point of routing.
Additional Data (RFC 7852 / NENA-STA-012): Caller context presented to dispatchers follows the additional-data model of RFC 7852, structuring provider, subscriber, and service information so operators have richer context before handling an escalated call.
OAuth 2.0 and JWT Bearer Token: Token-based authentication protects auditable read and write workflows across the platform.
WebSocket (RFC 6455): Live transcripts, escalation alerts, and handoff updates are pushed to dispatcher consoles over persistent WebSocket connections, minimising latency between an AI escalation and human action.
ITU-T E.164: Incoming phone numbers are normalised to the E.164 international format for consistent caller identification across call handling and records.

Last Reviewed: 2026-07-16 Last Updated: 2026-07-16