VisitSense AI

Explainable Visit Risk Intelligence.

VisitSense AI is an advanced anomaly detection capability that analyses visit booking and attendance data to identify unusual behaviours, emerging risk patterns, and hidden relationships within custodial environments.

Built on graph-based machine learning and explainable AI, it converts visit activity into structured, actionable intelligence that strengthens dynamic security, supports safeguarding decisions, and reduces manual analytical workload — while preserving full human oversight.

Developed by Unilink’s AI Research Centre, VisitSense AI brings academic rigour and operational practicality together in a deployable, governed solution designed specifically for justice environments.

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Explainable AI insight

VisitsSense AI transforms visit data into structured intelligence, strengthening safety & security, improving oversight, and enabling earlier, evidence-based intervention without compromising human judgement.

Visits Sense Diagram (2)

Key Benefits

VisitSense AI strengthens visit security while improving operational efficiency and decision confidence.

Proactive Risk Identification

Proactive Risk Identification

Enhanced Governance & Assurance

Enhanced Governance & Assurance

Force Multiplier for Intelligence Teams

Force Multiplier for Intelligence Teams

Reduced Manual Triage

Reduced Manual Triage

Supports Professional Judgement

Supports Professional Judgement

How it works

The system establishes a behavioural baseline by learning what “normal” looks like from historical visit data. It then continuously monitors live bookings and visit sessions to detect:

  • Point anomalies – unusual single events
  • Contextual anomalies – behaviour that deviates within a given context
  • Collective anomalies – patterns that emerge across groups or networks
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Visit risk detection

Using advanced graph machine learning, VisitSense AI models relationships between visitors and residents to identify unusual affiliations, behavioural drift, and emerging risk networks.

Each alert includes:

  • Clear reason codes
  • Contextual explanations
  • Severity levels
  • Comparative baselines

This ensures alerts are transparent, explainable, and defensible, never opaque or automated without context.

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Secure & Governed by Design

VisitSense AI is:

  • Explainable (glass-box approach)
  • Bias-aware and governed
  • Securely deployed within client environments
  • Fully auditable
  • Operated within defined policy and oversight frameworks

It integrates directly into booking and scheduling workflows, ensuring minimal disruption to established processes.

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