Goal-Driven AI Agents
Unlike task-focused automation, AI agents operate with goals - not scripts. They sense, decide, and act autonomously to deliver outcomes across capacity planning, service delivery, and service assurance enabling a new mode of operation aligned with TM Forum Autonomous Networks levels 4 and 5.
Digital Twin for trust
Trust is essential for autonomous operations. Amdocs Digital Twin technology validates changes before deployment. By providing a virtual copy of the network where modifications are simulated first, Digital Twins derisk autonomous operations. This combines 20+ years of OSS and network operations expertise with hyperscaler data and AI services, ensuring changes work before they touch live infrastructure.
Open by design
Autonomous Network Operations is vendor-agnostic and integrates with the Amdocs Intelligent Networking Suite, providing a modular, cloud-native foundation for closed-loop operations. CSPs operationalize intent at scale across domains, executing autonomous workflows that improve efficiency, service quality, and customer experience.
Issues that required multi-team coordination now resolve in minutes. Network tuning runs continuously. Capacity adjustments happen before constraints impact service. Outcomes become repeatable, without manual coordination.
Accelerate your journey towards Autonomous Networks with Agentic AI and Digital Twins
See how Amdocs brings intelligence into network operations. Our AI agents and Digital Twin technologies enable autonomous workflows across domains, delivering services, resolving issues, and optimizing operations.
Network AI Award
Network AI Award winner at FutureNet World 2025 for the second consecutive year, recognizing Amdocs’ blend of proven AI/ML and Agentic AI for network operations.

Frequently Asked Questions
What is Amdocs Autonomous Network Operations?
It’s a solution designed to help CSPs move from manual network operations to autonomous network operations. It is a telco-grade solution that combines network ontologies, data and AI/ML models to form a digital twin of the network, along with agent libraries that can sense, decide, and act autonomously.
What KPIs can Autonomous Network Operations improve?
It can help improve a wide range of operational and customer-facing metrics. This includes mean time to identify (MTTI), mean time to repair (MTTR), Service delivery time (SDT), SLA compliance ratio (SCR), and customer satisfaction (CSAT).
Can Amdocs Autonomous Network Operations run on my existing environment?
Yes, it is designed to operate in heterogeneous environments. It is LLM-agnostic and supports MCP and A2A integration, enabling deployment over any OSS, Amdocs or third-party.
Can Amdocs Autonomous Network Operations be extended?
Yes. While it provides out-of-the-box agents, sub-agents, network ontologies, and workflows, CSPs can extend or customize these components to meet their specific operational needs.
Which LLMs and clouds are supported?
It supports major hyperscales such as AWS, Google Cloud, and Microsoft Azure, and can also run in private or hybrid cloud environments.