OPERATIONAL EFFICIENCY TODAY, INTELLIGENCE EVERYWHERE TOMORROW
AI for Autonomous Networks represents Mavenir’s foundational pillar for achieving highly automated, intent-driven, self-aware, self-optimizing telecom infrastructure and applications. As traditional rule-based operations become increasingly inadequate in managing disaggregated networks and complex service requirements, Mavenir AI Autonomous Networks outlines a systematic approach to embed AI throughout both the network functions and in operational systems. Mavenir enables this evolution into two distinct but complementary tracks:
AI for Functional Efficiency
Focused on enhancing the intrinsic intelligence of the RAN, Packet Core, and IMS domains through self-aware dynamic optimization, domain-specific ML models, and real-time policy enforcement.
AI for Operational Efficiency
Centred on AI-driven automation of NOC workflows, fault management, observability using layered agents, digital twins, auto-RCA and GenAI copilots to reduce manual effort and enable zero-touch operations.
Cloud-Native Automation
Together, these two dimensions of efficiency form the foundation for an autonomous, AI-native operations model. Building on this foundation, operators are evolving toward the TechCo vision of intelligent, automated, and programmable networks, with Mavenir enabling this transformation through AI-driven autonomy that unifies functional and operational intelligence across the network.
Network Intelligence as a Service
Central to this autonomy is Mavenir Agentic Service Assurance providing network intelligence, which empowers operators to achieve TM Forum–defined Autonomous Network Levels 4 and 5 — predictive, self-healing, and intent-driven ensuring continuous optimization across RAN, Core, and service layers.
Mavenir integrates native agentic AI into our packet core, IMS and messaging functions, enabling real-time monitoring, anomaly detection and rapid resolution inside the network functions. This eliminates delays inherent in traditional OSS-centric investigation models.
A unified data fabric, telecom ontology, and knowledge graph, combined with a central AI engine, power proactive automation — from KPI correlation and failure prediction to digital-twin-validated closed-loop mediation. The system leverages a telecom-specific knowledge base built on years of domain expertise, enabling reduced costs, faster resolution across Level 1–Level 3 NOC support processes, and a network optimized for rapid, intelligent service delivery.
A PATH TO FULL AUTONOMY
Near-term gains are clear:
- Fewer alarms and reduced noise in NOCs
- Faster RCA and lower MTTR
- Predictive maintenance before service degradation
- Optimised resource utilization and energy usage
Longer-term transformation will see:
- Intent-driven management replacing static dashboards
- Agent orchestration across domains
- AI-native capabilities foundational to autonomous 6G networks
Mavenir’s telco domain expertise across core and RAN ensures evolution without disruption, through new intelligence layered onto existing deployments.
Business impact
- Lower operations cost
- Higher network quality and reliability
- Faster innovation and simplified lifecycle management
Mavenir’s telco-first expertise ensures that network autonomy delivers measurable value and a risk-free path to a fully-autonomous network future.