RADCOM Neura is a purpose-build AI Agent suite that bridges network performance and customer experience and delivers end-to-end autonomous diagnostics and incident resolution workflows.
Download the infographic to learn how RADCOM’s AI Agents integrate seamlessly across agentic AI ecosystems including OSS/BSS, service management systems, and third-party vendors.Â
FAQs
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.
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.