AI-Powered Network Intelligence & Automation at Scale
Transforming Mobile Network Operations Across the UK
Discover how a leading UK mobile network operator modernised network site and data centre prioritisation through a unified, AI-powered decision intelligence platform and automation-ready architecture. In this case study, Recenso led end-to-end programme delivery and system integration – moving the client from fragmented, manual workflows to a scalable, data-driven operating model that accelerated planning, reduced effort, and improved resilience.
Download Full Case StudyKey Highlights
AI-Driven Decision Intelligence
Unified intelligence layer enabling real-time querying, analysis, and site prioritisation across complex network infrastructure.
Data Consolidation & Harmonisation
Consolidated five critical datasets into a single, trusted data layer to eliminate fragmentation and inconsistencies.
Operational Efficiency
Manual analysis reduced from hours/days to seconds through automation, dashboards, and natural-language access.
Resilience & Reduced Dependency
Improved process clarity so outcomes no longer relied on a small number of legacy system experts.
Automation Readiness Foundation
Established the intelligence layer required to accelerate future network automation and proactive optimisation at scale.
Download the Full Case Study
Learn how Recenso supported the mobile network operator from requirements and use case definition through platform design, secure deployment, testing/UAT, executive validation, and post-POC expansion, building the foundation for operationalised network intelligence.
- Requirements & use case definition
- Platform design & secure deployment
- Testing, UAT & executive validation
- Post-POC expansion & operationalisation
- Foundation for scalable network intelligence
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