Emergency Response, Training & Live Incident Management

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AI and extended reality enabled readiness for real-time incident management in high-risk industrial operations

Industrial emergency response is being redefined.

It is no longer just about fires, equipment failure, or process incidents.

Today’s operators must also prepare for:

  • Drone-based attacks on critical infrastructure
  • Coordinated physical and cyber disruptions
  • Restricted site access due to geopolitical instability
  • Increasing operational complexity across distributed assets

In this environment, response plans alone are not enough. You need teams that are ready, and systems that work in real time.

Response Capability Has Not Kept Pace with Risk

Most organisations still rely on:

  • Periodic drills with limited realism
  • Static procedures disconnected from real environments
  • Fragmented tools during live incidents
  • Limited visibility for incident command

When an incident occurs, this leads to:

  • Delayed situational awareness
  • Inconsistent decision-making
  • Inefficient resource deployment
  • Increased risk to people and assets

A Reality-First Approach to Emergency Response

ScanOps connects real facilities to training, field response, and command systems,  creating a single operational capability across the entire incident lifecycle.

A digital twin is not a model. It is a system connected to real operations. This enables organisations to move from:

Planning for incidents → Being ready to manage them

Train for High-Consequence Scenarios, Before They Happen

Using accurate reality capture and operational digital twins, teams can train against real environments, not assumptions.

  • Immersive Scenario-Based Training
  • Fire and explosion response
  • Major hazard releases
  • Evacuation and muster coordination
  • Offshore and remote asset incidents
  • Drone attack and security breach scenarios

AI-Infused Smart Glasses for Frontline Response

When responders arrive on scene, the challenge is immediate:

  • Limited visibility
  • High pressure
  • Incomplete information
  • This is where AI-enabled smart glasses transform response capability.

On Arrival at the Incident Scene
Using live video, spatial awareness, and AI models trained on SOPs, the system can:

  • Assess the situation in real time
  • Identify incident type and severity
  • Detect hazards and restricted zones
  • Guide responders with step-by-step instructions

Command & Control with Operational Digital Twins

At the command level, decision-making depends on visibility. ScanOps provides a live operational view of the incident:

  • Real-time asset and environment visualisation
  • Responder tracking and coordination
  • Affected systems and zones
  • Integrated operational and sensor data

AI-Supported Decision Making

  • Recommended response strategies
  • Escalation risk forecasting
  • Identification of bottlenecks and constraints

This enables command teams to move from reactive coordination to informed control.

From Response to Resource Intelligence

Emergency response does not fail due to effort.
It fails due to misalignment between need and available resources.

Evolving to Full Resource Visibility

ScanOps enables integration between incident command and resource availability:

Real-Time Awareness

  • Available fire engines, crews, and equipment
  • Location and readiness status
  • Operational constraints

Intelligent Resource Allocation

  • Match required resources to available capacity
  • Identify gaps instantly
  • Optimise deployment across sites

Outcome

  • Faster mobilisation
  • Reduced over- or under-deployment
  • Improved operational resilience