Moving beyond the hype, GSMA introduces a pioneering platform enabling members to evaluate, benchmark, and experience Agentic AI systems against real-world telecommunications challenges.
The current AI landscape is fragmented, noisy, and moving at breakneck speed. For telecom operators globally, the challenge has shifted from understanding why they need AI, to understanding how to implement it effectively. How do different foundation models perform against specific telecom nuances? What is the actual difference between a standard chatbot and a truly autonomous “AI Agent” in a network operations center?
At GSMA, we believe that to truly unlock the benefits of AI for our industry, we must move beyond theoretical slide decks and into practical application. Our members need to experience these technologies with their own hands before making critical infrastructure investment decisions.
Today, GSMA is proud to announce a significant milestone in that journey: the wider market launch of the GSMA Agentic AI Testbed, the telecom industry’s first dedicated platform designed for evaluating and experiencing AI agents in real-world scenarios.
A Vision for Practical Evaluation
The creation of this platform stems from innovative leadership within GSMA, recognizing that as a standards body, our role extends beyond defining protocols—we must also facilitate the adoption of future-proof technologies. We recognized early on that the complexity of “Agentic AI”—systems capable of autonomous reasoning, planning, and executing tasks across network domains—required a standardized environment for testing.
To realize this vision, GSMA partnered with NetoAI, a leading AI company specialized in building deep-tech AI products and solutions specifically for the Telecom domain.
This collaboration has resulted in a robust, state-of-the-art testbed built by NetoAI, which serves as a neutral sandbox for operators. It is designed to demystify the ecosystem, allowing members to see and feel how different models and agents perform against the unique demands of our sector.
“The telecom industry cannot afford to adopt AI based on generic benchmarks. We need to know how these systems handle network congestion, how they interpret specific alarm protocols, and how they plan for future capacity,” said Louis Powell, Director of AI Initiatives at GSMA, who has spearheaded this program. “With the GSMA Agentic AI Testbed, we are taking a leadership stance to de-risk AI adoption for our members. We are moving from abstract promises to tangible, verifiable performance data.”
Echoing this sentiment on the technical realization of the project, Ravi Kumar Palepu, CEO of NetoAI, added, “We built this platform to be the proving ground for the industry; by enabling operators to rigorously test Agentic AI against the specific constraints of telecom infrastructure, we are bridging the critical gap between AI potential and real-world deployment.”
Inside the Testbed: Agents in Action
The GSMA Agentic AI Testbed is not a static demo; it is a dynamic evaluation environment. It allows telecom operators to rigorously test how different AI systems handle complex workflows across critical domains.
Currently, the platform built by NetoAI supports 10 different leading Large Language Models (LLMs) available on the market today. This multi-model approach is crucial, as it allows operators to benchmark performance, cost, and accuracy across different underlying technologies to see which yields the best results for specific telecom tasks.
Furthermore, the platform launches with four specialized AI Agents already integrated and ready for evaluation:
- Network Planning Agent: Capable of analyzing geographical data, user demand projections, and spectrum availability to propose optimal network rollout strategies.
- Capacity Management Agent: Focused on predicting traffic spikes and dynamically recommending resource allocation to ensure quality of service.
- Network Fault Troubleshooting Agent: Designed to ingest alarm data, correlate events, identify root causes of failures, and suggest remediation steps autonomously.
- Overall Network Management Agent: Providing a holistic view and orchestration capability across diverse network functions.
By utilizing this testbed, GSMA members can simulate real-world scenarios and observe how these agents “think” and act. This hands-on experience is invaluable for strategy teams, network engineers, and CTOs who need to understand the maturity of these technologies before integrating them into live networks.
Looking Ahead:
We have already quietly enabled access to a select group of GSMA members, and the initial feedback on experiencing the Agentic AI ecosystem firsthand has been overwhelmingly positive. Today, we are excited to make this platform known to the wider GSMA membership base.
This announcement serves as an official launch of the Agentic AI Testbed. We invite all telecom companies reach out to us for a real-time demonstration. It will be an opportunity to see the platform in action, challenge the agents with complex scenarios, and understand how this initiative can accelerate your specific AI roadmap.
The future of telecom is autonomous, and the journey towards that future begins with rigorous, practical evaluation.
Call to Action:
All GSMA member companies interested in gaining access to the Agentic AI Testbed to begin their evaluation process should reach out to the GSMA AI Initiatives team today. Let us shape the future of telecom AI together.