From autonomous NOC operations that resolve 94% of incidents without human intervention to 5G RAN self-optimisation, AI-powered churn prevention, and intelligent customer care — TechProf delivers telecom AI that keeps networks running at 99.997% availability while cutting operational costs and retaining subscribers at scale.
Telecom AI that operates across every layer — from self-optimising radio networks and autonomous fault management through to subscriber intelligence and AI-powered customer operations. All production-deployed, all Ofcom and ITU-T aligned.
Telecom networks process millions of events per second across tens of thousands of nodes. Our AI platforms are built for this — real-time streaming architectures that ingest telemetry from OSS/BSS systems, process at line rate, and make autonomous decisions in single-digit seconds.
We integrate with major OSS/BSS vendors — Nokia, Ericsson, Huawei network management, Amdocs, and CSG billing — and can deploy as a standalone intelligence layer that complements rather than replaces existing operations tooling.
Real systems running in live telecom operations — from national MNOs to regional broadband providers and MVNOs.
AI-driven NOC platform monitoring 14,291 active nodes across a UK national mobile operator. Detects, diagnoses, and resolves 94% of network incidents autonomously — reducing MTTR from 47 minutes to 2.3 seconds for automated fault classes. NOC headcount redirected to strategic work.
Self-optimising RAN management system for a 5G NSA rollout — dynamic spectrum allocation, interference mitigation, and autonomous load balancing across 2,800 5G NR cells. Throughput improved 31%, energy consumption reduced 19%, and dropped call rate halved.
Subscriber churn prediction and autonomous retention for a quad-play provider — 4.2M subscriber base. 89% accuracy at 30-day horizon, with AI-triggered personalised retention offers. Churn reduced by 22% in year one, generating £18M additional retained revenue.
Omni-channel AI care platform for a challenger broadband provider — autonomous fault diagnosis, billing enquiry resolution, and proactive outage communication. 78% of enquiries resolved without agent involvement. NPS improved 28 points. AHT reduced 41%.
AI-driven energy management across a 5G and 4G estate — autonomous RRU power control, sleep mode scheduling, and grid-aware load shifting. Energy consumption reduced by 23%, saving £4.1M annually in electricity costs. Full carbon reporting integration included.
Real-time fraud detection platform covering SIM swap, international bypass fraud, and premium rate abuse. Processes 2.1M call records per minute, detecting anomalous patterns in under 3 seconds. Fraud losses reduced by 81% for the first year. Full Ofcom compliance reporting included.
A proven four-phase model built around telco operational realities — existing network management systems, BSS dependencies, and Ofcom regulatory obligations all accounted for from day one.
Map your OSS/BSS landscape, telemetry coverage gaps, existing automation tooling, and highest-value AI intervention points. ROI quantified before any build commitment.
AI platform designed as an intelligence layer on top of existing Nokia, Ericsson, or Huawei NMS — not a replacement. Vendor-agnostic APIs, standard 3GPP data models, and streaming architecture built for telco scale.
AI runs alongside existing NOC workflows in observation mode first — building operator confidence through measured accuracy before autonomous decision-making is enabled across live network domains.
Model retraining as network topology evolves, new fault classes emerge, and 5G coverage expands. Regular Ofcom compliance reviews and expanding automation scope as the system proves its reliability.