April 21, 2026
In the telecom market, particularly in mobile Quality of Service (QoS) testing, AI must deliver tangible value. It should save expensive user time, execute with precision, maintain structure and organization, and produce professional outputs that elevate both the tools and the people who use them.
Three Phases of AI in QoS Testing
Mobileum’s approach to AI in QoS testing is intentionally structured into three phases:
- Phase 1: Knowledge and Reporting Assistance
- Phase 2: Test Campaign Configuration Assistance
- Phase 3: Intelligent Root Cause Analysis Assistance
Phase 1 in Action: The Strategic Role of the Mobileum AI Assistant (MAIA)
As a Senior Product Manager leading Mobileum’s AI initiatives, Ariel Vergara notes that he frequently encounters customers who are eager to understand how AI can simplify and accelerate their Quality of Service (QoS) testing campaigns. With Phase 1 now fully in production, Vergara encourages customers to maximize the Mobileum AI Assistant (MAIA) as a powerful tool for self-help and product capability discovery.
According to Vergara, MAIA provides immediate answers to critical operational questions, such as:
- How do I perform a specific action in the system?
- What does a particular KPI represent?
- Which parameters matter most for a given test scenario?
Beyond simple guidance, the senior expert highlights that customers gain immense value from MAIA’s ability to generate deep-dive reports. These reports are meticulously structured to ensure that even non-technical stakeholders can easily grasp complex KPIs. Remarkably, users can generate these insights simply by interacting with MAIA using natural human language.
As QoS environments become increasingly sophisticated, the need to move away from manual configuration and fragmented KPI interpretation has become a priority. Ariel Vergara points out that by leveraging MAIA to automate these tasks, customers are now retrieving reports faster and interpreting results with greater ease, leading to more confident and timely decision-making.
Expert Insight: The Human–AI Connection
A vital lesson Vergara has drawn from this journey is that AI is essentially bringing us back to the core principles of communication. He observes that to utilize AI effectively, we must be able to articulate our requirements with absolute clarity and precision.
"Using concise language and thoughtful reasoning when prompting AI ensures smoother execution and unlocks the system's full potential to deliver high-quality outputs at unprecedented speeds," Vergara shares. In this new landscape, evolving how we communicate and define our objectives has become just as critical as technical expertise.
The Road Ahead
Looking toward Phases 2 and 3 of the MAIA roadmap, Ariel Vergara anticipates that AI will take on a more proactive role in configuring test campaigns and performing Intelligent Root Cause Analysis (RCA).
This evolution will further bridge the gap between human logic and machine computing power. Vergara expects these advancements to empower technical teams to work smarter, faster, and with higher confidence, ultimately creating a transformative impact on how telecommunications companies understand and optimize their network quality.
As a strategic partner of Mobileum, COMIT is committed to pioneering the introduction of breakthrough AI solutions to the Vietnamese telecommunications market. By integrating Mobileum’s three-phase roadmap with our extensive expertise in local network infrastructure, COMIT goes beyond deploying the Mobileum AI Assistant (MAIA); we actively partner with operators to optimize their QoS testing workflows. We serve as a vital bridge, empowering Vietnamese engineering teams to master AI technology and transition from manual operations to intelligent analysis, thereby driving operational efficiency and ensuring superior service quality.
Source: https://blog.mobileum.com/ai-in-testing-solutions-a-strategic-perspective-for-telco