RADCOM Neura | Agentic AI for Autonomous Networks
From service assurance monitoring to autonomous, intent-based customer experience enhancements
RADCOM Neura is our agentic AI framework that leverages trusted, customer-centric data from RADCOM ACE and a comprehensive set of AI/ML tools to power a team of customer experience and service assurance AI agents. It integrates seamlessly with service management and OSS/BSS systems, helping operators improve operational efficiency and elevate customer satisfaction by building a customer-aware, intent-based network. RADCOM Neura AI agents operate autonomously to transform assurance data into a unified source of truth, linking network operations with customer-focused teams. By automating case validation, service quality analysis, root-cause analytics, and customer experience improvements, Neura helps operators deliver better service, increase customer satisfaction, boost efficiency, improve first-call resolution, and lower ticket volume.
Autonomous AI that comprehends your network from the
RAN to the core
RADCOM Neura transforms real-time network data into autonomous intelligence that uncovers service quality, user behavior, and performance issues throughout the entire network. Using the Model Context (MCP) and agent-to-agent protocols, its AI agents automate key network operations, customer support, and assurance tasks, while smoothly integrating with service management systems like ServiceNow to improve ticket resolution, make processes more efficient, and speed up results. This unified approach helps operators increase efficiency and deliver better customer experiences.
Reduced Time to Resolution
“Partnerships succeed best when we lean into our unique skills and expertise and have a clear view into the problem we’re trying to solve. RADCOM’s integration with ServiceNow will help our customers create best-in-class subscriber experiences while reducing network engineering time and effort. I am thrilled to see the continued innovation we will achieve together to help organizations succeed in the era of digital business.”
Erica Volini
Executive Vice President, Worldwide Industries, Partners, and Go-to-Market at ServiceNow.
Your intelligent copilot for network insights and assurance: RADCOM NetTalkTM
RADCOM NetTalk™ is an intelligent copilot that offers instant, context-aware insights through simple voice or text commands. It helps users explore RADCOM products, understand 3GPP standards, analyze ACE data, and interact smoothly with RADCOM Neura to quickly access intelligent, agent-driven features.
- Provides instant, context-aware insights on RADCOM products, 3GPP standards, and ACE data
- Allows users to interact through simple voice or text prompts
- Connects directly to RADCOM Neura, enabling access to agentic AI insights and outputs
- Helps users understand automated actions taken by Neura agents in real time
- Supports faster troubleshooting with guided explanations and data-driven recommendations
Expert AI agents working as one to validate, diagnose,
and optimize your network operations
One AI framework, many experts.
RADCOM Neura employs a team of specialized AI agents, each dedicated to a specific task to achieve higher accuracy, faster insights, and improved operational results. By focusing on areas such as case validation, root cause analysis, anomaly detection, and impacted subscriber analysis, these agents offer deeper expertise than a single generalist agent. They operate simultaneously for faster detection and resolution, are easier to validate and manage, and can be scaled or upgraded independently. Through MCP collaboration, they share insights to develop a more comprehensive understanding of network performance and customer experience, making Neura efficient, reliable, and tailored for real-world telecom operations.
RADCOM Neura AI agents are divided into three main areas of expertise:
Customer Experience Agents
Offer real-time visibility into each subscriber’s journey. Identify dissatisfied users, validate complaints with actual network data, and flag issues early to create a more proactive and personalized customer experience.
Service Quality Agents
Ensure data-driven accuracy from detection to resolution. Automatically validate incidents, confirm affected subscribers, and eliminate false alarms to speed up MTTR and maintain service reliability.
Network Optimization Agents
Continuously improve network performance using AI-driven analytics. Identify root causes, detect bottlenecks in the RAN and core, and recommend optimized actions for a more efficient, self-optimizing network.
FAQ
What role do RADCOM ACE and RADCOM AIM play in the solution?
RADCOM ACE provides end-to-end visibility and contextualized network data, while RADCOM AIM delivers advanced AI and machine learning analytics to detect anomalies, trends, and patterns. Together, they form the foundation of the agentic AI framework, ensuring that actions and recommendations are based on trusted, high-quality insights.
What types of processes can the AI agents automate?
The agents can automate key operational workflows such as:
- Case validation and trouble ticket analysis
- Service quality monitoring and optimization
- Root cause analysis and impact detection
- Customer experience management and complaint validation
- Automated remediation recommendations and closed-loop actions
How does agentic AI improve customer experience?
By correlating network performance with subscriber-level insights, the solution enables operators to detect, diagnose, and resolve customer-impacting issues proactively, often before customers are affected. This leads to fewer complaints, faster resolutions, and consistently high service quality.
How does the agentic AI framework integrate with existing systems?
RADCOM’s agentic AI is built with open APIs and supports MCP (Model Context Protocol) for interoperability. It integrates with OSS, BSS, ITSM, and other operational systems, enabling automated actions and insights to flow across your existing ecosystem without disruption.
Is the system fully autonomous or does it include human oversight?
The solution is built for human-in-the-loop operations. While agents can act independently within established boundaries, operators maintain full control through policy management, approval workflows, and audit trails to ensure safe, transparent automation.
Can agentic AI be deployed in any environment?
Yes. The solution is cloud-native and containerized, supporting deployment to public, private, or on-premises environments. It scales flexibly based on your network size, use cases, and data processing needs.
How secure is the agentic AI framework?
Security and data privacy are integrated. The framework adheres to data minimization principles, enforces strict access controls, and supports compliance with global data protection laws. All agent interactions are logged and auditable to ensure transparency.
What measurable benefits can operators expect?
Operators utilizing RADCOM’s agentic AI can accomplish:
- Up to 70% reduction in total cost of ownership (TCO)
- 50% faster incident resolution times
- Over 90% data efficiency while maintaining full network visibility
- Improved customer satisfaction and NPS through proactive service management
What is RADCOM’s agentic AI solution?
RADCOM’s agentic AI solution is an intelligent automation framework that uses multiple AI agents to transform network data into real-time insights and actions. These autonomous agents continuously learn, adapt, and collaborate to optimize performance, streamline operations, and enhance customer experience across the entire network, from the RAN to the core.
How does agentic AI differ from traditional AI or AIOps solutions?
Unlike traditional AI or AIOps tools that rely on static algorithms or rule-based automation, RADCOM’s agentic AI uses a network of collaborative, self-learning agents that reason, plan, and act autonomously. Each agent focuses on specific tasks, such as service quality, incident resolution, or experience analysis, while sharing context to drive intelligent, closed-loop automation.
