// Command & Control · Agentic dispatch

AI proposes. Operators approve.

When an incident is detected, INNFINI analyzes the situation, assesses impact, recommends the right SOP, identifies the nearest available responders and proposes the next-best action — all in seconds, with cited reasoning. The operator stays in control. Nothing dispatches without approval (unless a rule explicitly authorizes auto-action).

<3s
Detect → recommend
100%
Explainable + audited
Human
In the loop
Detect Recommend Approve Act
// The incident response console

Map left. AI recommendation right.

The operator opens the incident, sees the live map context on the left, and an end-to-end recommendation panel on the right — reasoning, confidence, suggested responders, SOP checklist and action buttons.

incident-response · INC-2025-0007 · zone-4 fire alarm AI · awaiting approval
Camera feeds · Zone 4
3 live
CAM-4-12 · haze detected · vision 0.91Confirming
CAM-4-08 · crowd egress · Gate 3Watch
CAM-4-15 · corridor clearClear
Unit status
4 tracked
Engine-12 · en route · 3 minAssigned
Patrol-22 · standby · 2 minAvailable
Medic-04 · on call · 6 minHeld
SUP-04 · on site · Level 2Notified
Incident timeline
T+00:41
  1. 14:36:01Smoke sensor SMK-4-08 triggered
  2. 14:36:04Camera CAM-4-12 confirmed haze · 0.91
  3. 14:36:08Incident opened · severity High
  4. 14:36:19SOP EVAC-2 matched · 7 steps
  5. 14:36:42Awaiting operator approval
INC-2025-0007 High

Fire alarm triggered in Zone 4

Khalifa Mall · Level 2 · Retail wing · 14:36
AI · recommended action

Dispatch Engine-12 to Zone 4. Notify facility supervisor SUP-04. Activate evacuation SOP-EVAC-2 on PA, digital signage and mobile alert. Hold escalation pending operator approval.

Confidence 0.94 · HIGH
Reasoning · cited
  • Smoke sensor SMK-4-08 triggered at 14:36:01 · Zone 4 retail floor.
  • Camera CAM-4-12 confirms crowd movement & haze · vision score 0.91.
  • Zone 4 high-occupancy · estimated 340 people on floor.
  • Nearest available response unit Engine-12 · 3 min ETA.
  • Applies SOP EVAC-2 · Emergency Evacuation Level 2.
  • Similar past incident INC-2024-0418 · same SOP successful in 4 min.
SOP-EVAC-2 · Emergency Evacuation Level 2 7 steps
  • Verify alarm against camera feed
  • Activate PA + digital-signage evacuation script
  • Dispatch Engine-12 to Gate-3 entry
  • Notify facility supervisor SUP-04
  • Trigger evacuation routes · floors 1–3
  • Notify operator-on-call · escalate if not contained in 5m
  • Hold approval if > $5k facility action
Suggested responders
Engine-12
Fire response · 4 crew · BA
ETA 3 minAvailable
Patrol-22
Site security · 2 officers
ETA 2 minAvailable
Medic-04
Medical · paramedic + EMT
ETA 6 minOn call
SUP-04
Facility supervisor
On siteAvailable
Approve dispatch Escalate Open SOP View cameras Request approval · SUP-04
Abu Dhabi Ports · Agentic Dispatch · production view AI · Active
Agentic Dispatch · Abu Dhabi Ports production view
Live production deployment · Abu Dhabi Ports. The Agentic Dispatch console showing a real Fire Alarm · Zone 4 incident: the AI Assistant pill at the top (Active), the incident banner (High severity), AI Recommendation tab with 92% confidence ("Dispatch nearest response unit and notify facility supervisor"), full reasoning list (smoke sensor triggered, camera confirms crowd movement, zone high-occupancy, nearest team 3 minutes away, SOP EVAC-2), suggested responders (Response Unit 12 · 3 min, Fire Safety Team · 5 min), SOP Recommendation panel, Impact & Risk metrics (Estimated Impact High · Affected Area Zone 4 - Building 7 · People at Risk 120-150), and the action buttons — Approve Dispatch (primary) / Escalate / View Cameras / More Actions. The banner at the bottom states "AI recommendation requires operator approval before dispatch" — the platform's core human-in-the-loop guarantee.
// The agentic-dispatch loop

Five stages. Always closed.

01 · Detect

Surface the event

Smoke, camera, RFID, sensor or operator report — every channel routes into the incident graph in real time.

02 · Recommend

AI proposes

Severity, SOP, responders, ETA, escalation path, similar past incidents — generated with citations and confidence.

03 · Approve

Human gate

The operator stays in control. Approve, escalate, modify or override — every decision recorded with identity + time.

04 · Act

Execute

Dispatch, alert, broadcast, lock-down, notify — through the integration layer. Outcomes streamed back to the canvas.

05 · Learn

Improve

Outcome feeds the model. Next time the same pattern arrives, recommendation quality and confidence improve.

// What the AI recommends

Ten signals. One recommendation.

Every recommendation is a fusion of operational signals — not a black-box "best guess".

01

Incident priority

Severity ranked by sensor data, occupancy, asset value, SLA pressure and historical impact.

02

Team assignment

Nearest available crew with the right skill, equipment and certification — plus an ETA.

03

Escalation path

If unresolved in X minutes, escalate to Y — multi-level paths defined per SOP.

04

SOP checklist

The right SOP attached, with required steps prefilled and trackable in-line.

05

Nearby resources

Cameras, vehicles, suppression systems, first-aid stations and exits within the incident radius.

06

Required approvals

Threshold-gated approvals — by cost, severity, role or zone — surfaced inline.

07

Comms actions

PA, SMS, push, signage, mobile alert — scripted per SOP, ready to launch with one approve.

08

Estimated impact

People affected, asset risk, downtime, financial exposure — quantified up front.

09

SLA risk

Probability of SLA breach with current resourcing — and what to change to recover.

10

Similar past incidents

Two or three precedents with their actions, outcomes and time-to-resolve — for fast pattern-match.

// Governance · operator-in-the-loop

AI proposes. The operator approves.

INNFINI is AI-assisted, not AI-autonomous. Approval modes are configurable per SOP, per role, per severity — from full auto-execute on low-risk routine actions, to mandatory dual-control approval on high-stakes ones.

Auto
Routine, low-risk

Pre-approved actions like camera cycling, log queries.

Attended
One-click approve

Operator must approve, but recommendation is presented inline.

Supervised
Dual-control

Operator + supervisor approval required before action executes.

Blocked
Human-only

Some actions never automate — AI advises, humans always execute.

// Why agentic dispatch matters

From paging-on-a-glance to coordinated response.

01 · Faster

−68% Time to Dispatch

From detection to crew rolling — measured across deployed sites.

02 · Smarter

Right SOP, First Time

SOP attached automatically — no manual lookup, no missed steps.

03 · Safer

Human Gate Always

Every dispatch is approved. Every approval is logged with identity + reason.

04 · Auditable

Cited Reasoning

Every recommendation explains itself — sensor IDs, camera frames, past cases.

Agentic Dispatch is the AI-assisted, human-governed response loop at the heart of INNFINI Command & Control. The platform proposes. The operator decides. The decision is explained. The outcome is learned.

See agentic dispatch on your operation.

A live walkthrough with our solutions team — your SOPs, your responders, your approval thresholds.