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
Our approach to AI in QoS testing is intentionally structured into three phases:
This phased strategy ensures that AI is not a superficial add-on, but a core enabler of efficiency, accuracy, and intelligence across testing workflows and user journeys.
Phase 1 in Action: Mobileum AI Assistant (MAIA)’s Role
As a Senior Product Manager deeply involved in Mobileum’s AI initiatives, I often see customers curious about how AI can simplify and accelerate QoS testing campaigns. With Phase 1 already in production, I encourage customers to leverage the Mobileum AI Assistant (MAIA) for self-helpand product capability discovery. This includes questions such as:
Beyond guidance, customers find significant value in Mobileum AI Assistant (MAIA)’s ability to generate insightful, well-structured reports. These reports present KPIs in a way that is accessible even to non-technical stakeholders and can be generated by interacting with Mobileum AI Assistant (MAIA) in natural human language.
As QoS environments grew more complex, customers sought more efficient ways to handle manual configuration and KPI interpretation. By using Mobileum AI Assistant (MAIA) to automate these tasks, they are now able to retrieve reports faster, to understand results more easily, and togain faster, more confident insights for decision-making.
Personal Insights: The Human–AI Connection
One important lesson from this journey is that AI takes us back to the fundamentals of communication. To leverage AI effectively, we must articulate our needs clearly and precisely. Thoughtful, concise language when prompting AI enables smoother execution and unlocks AI’s full potential to deliver high-quality outputs at unprecedented speed. In this context, evolving how we communicate and how we define our goals becomes just as important as technical expertise.
The Road Ahead
As we progress into Phases 2 and 3 of Mobileum AI Assistant (MAIA), AI will play an increasingly active role in configuring test campaigns and performing intelligent root cause analysis. This evolution will further bridge human reasoning with machine computing power, and empower teams to work smarter, faster, and with greater confidence. I look forward to the impact this will have on how telcos understand and optimize network quality.