Network Intelligence monitors 284,000 network nodes simultaneously — base stations, routers, switches, and core network elements — and predicts outages 48 hours before they occur using signal degradation, hardware telemetry, and traffic pattern analysis. When a cell tower starts showing early signs of failure, maintenance is dispatched proactively rather than reactively. Capacity optimisation: AI dynamically adjusts spectrum allocation, beamforming parameters, and traffic routing to maximise throughput during peak periods and reduce energy consumption during off-peak. Anomaly detection: unusual traffic patterns indicating equipment failure, cyber attack, or fraud are surfaced within seconds. All network configuration changes require network operations centre approval.

Churn Prevention AI analyses 4.2M customer accounts daily across 40+ behavioural signals: call quality complaints, data usage changes, competitor research signals, contract expiry proximity, billing anomalies, and customer service interaction sentiment. High-value customers at risk are identified 90 days before likely churn — when personalised retention intervention is still economically viable. Retention offer optimisation: AI selects the right offer for each customer (price reduction, free upgrade, loyalty reward, early contract renewal) based on their usage profile, value, and churn drivers. Retention success rate: 64% on AI-targeted interventions vs 31% on blanket campaigns. All retention offers above £50 monthly value require commercial manager approval.

Telecoms Fraud Detection analyses call patterns, location data, roaming behaviour, and account changes in real time. SIM swap fraud: unusual account change requests cross-referenced against call pattern changes and location anomalies — fraud ring patterns detected across multiple accounts simultaneously. International revenue share fraud (IRSF): unusual international calling patterns to high-risk destinations detected within 60 seconds — calls blocked before significant revenue loss. Wangiri fraud: missed call campaigns identified from calling number analysis and pattern matching against known fraud databases. All fraud blocks require security analyst confirmation before permanent action — AI pauses suspicious activity while human review occurs.