Transform customer experiences with intelligence, automation, and real network truth.
Telecom operators are racing toward an intelligence-first future, but the success of agentic AI depends on one thing above all: trusted, high-quality service data. As networks become more dynamic, distributed, and software-driven, telcos require a foundation that ensures every AI decision is accurate and every action is safe.
This is where RADCOM becomes essential.
Agentic AI frameworks showcased in the white paper demonstrate how autonomous agents can predict issues, guide customer interactions, and proactively resolve problems. Yet none of this is possible without deep, real-time network observability. Service assurance is the control layer that makes agentic AI reliable, explainable, and operational at scale.
Why RADCOM Matters
AI is only as strong as the service assurance behind it
RADCOM delivers the service intelligence that agentic AI systems require to operate with confidence. With real-time visibility from RAN to core, high-fidelity user analytics, and advanced AI-driven insights, RADCOM provides:
- Trusted, granular, subscriber-centric data: Fuel AI agents with precise, real-world quality metrics, not approximations.
- Autonomous-ready assurance: Detect, diagnose, and validate network actions to ensure AI workflows operate within safe and efficient boundaries.
- Closed-loop intelligence: Turn network events into immediate, contextual insights that agentic systems can act on.
- AI-aligned architecture: Cloud native, scalable, and designed for dynamic agent-driven operations.
When AI agents rely on RADCOM, operators gain the confidence to automate more tasks, accelerate decision-making, and enhance the customer experience with fewer manual interventions.
What You’ll Learn in the White Paper
The white paper explores how agentic ODA frameworks reshape telecom operations to deliver proactive, personalized, and automated experiences. You’ll discover:
- How agentic AI elevates customer care and operations
- Why proactive experience management will differentiate leading operators
- How data fabric, orchestration, and automation layers interact
- What capabilities are needed to support closed-loop intelligence at scale
- How telcos can safely evolve toward autonomous operations
Most importantly, the paper highlights the growing need for accurate, continuous network intelligence as AI systems become increasingly action-oriented.
Why Service Assurance Is the Foundation for Agentic AI Transformation
AI agents can reason, collaborate, and execute tasks, but they cannot see the network without the right assurance layer. With RADCOM, operators gain:
- Real-time, end-to-end service visibility
- Automated detection and root-cause analysis
- Insight into subscriber experience and impact
- AI-ready data flows that simplify orchestration
This ensures every agentic workflow is powered by the truth of what is happening in the network, enabling telcos to deliver proactive, predictive customer experiences at scale.
Download the White Paper
Discover how agentic AI and RADCOM’s service assurance together enable the next era of telecom intelligence.
Empower your organization to deliver customer experiences that are proactive, intelligent, and deeply personalized, built on the strength of real-time network knowledge.
Get the white paper now and unlock the blueprint for the autonomous telco.
