As MVNOs move into 2026, the challenge with AI is no longer experimentation—it is execution. The real opportunity lies in combining machine learning, which predicts outcomes such as churn, fraud, and pricing behavior, with Agentic AI, which can autonomously act on those predictions inside operational workflows. This article outlines a practical, phased roadmap for building the data foundations, skills, and governance needed to turn AI from isolated pilots into scalable profit engines, enabling MVNOs to convert intelligence into measurable business impact.
The 5 Things US MVNOs Must Get Right in 2026
Modern MVNOs no longer differentiate on network access alone. While coverage, wholesale rates, and launch speed remain important, long-term success increasingly depends on how well the business understands and serves its customers. This article explains why CRM has become the structural backbone of modern MVNOs, sitting at the centre of increasingly complex OSS, BSS, billing, logistics, and support stacks. Rather than replacing these systems, CRM connects them—turning fragmented operations into coordinated customer journeys and enabling MVNOs to compete on experience, not just connectivity.
MVNOs’ Route to Bridging the AI Chasm
As MVNOs move into 2026, the challenge is no longer experimenting with AI, but turning pilots into measurable business results. This article explains how MVNO leaders can bridge the AI execution gap by embedding intelligence directly into workflows, standardizing data foundations, and building learning loops that translate models into real financial impact.
Decision deadlock – don’t let it derail your operational ambitions
Decision deadlock is quietly undermining operational ambition across the telecom and technology landscape. Caught between sweating legacy voice and data stacks, investing in AI, or doubling down on human capital, many organisations delay the very choices that define their future. But in a market moving at machine speed, indecision is not caution—it is a decision to fall behind.
This piece challenges the myth of incremental safety and optimisation theatre, arguing instead for deliberate, component-level transformation. By adopting fit-for-purpose platforms designed for intelligence, automation, and learning, leaders can shorten the distance between insight and action. The autonomous era has already arrived; the real question is whether organisations choose to lead it or remain anchored to systems that no longer serve them.
MVNOs Can Modularize Their Core for Expansion
MVNOs are increasingly treating their core networks as engines of strategic growth rather than inherited utilities, using modular, API-driven architectures to break apart rigid monolithic systems and replace them with adaptable components that evolve independently. By separating control and user planes, operators can expand internationally while maintaining compliance and consistent service logic, and with neutral cores and Core-as-a-Service platforms, even smaller MVNOs can access this flexibility without heavy upfront investment. APIs and automation unify these modules into an intelligent, responsive ecosystem that accelerates feature development, strengthens observability, and simplifies partnerships. In practice, modularization becomes a business strategy as much as a technical model, offering full MVNOs a way to scale without unnecessary complexity and giving light MVNOs a gradual path toward greater autonomy — ultimately enabling operators to build once and scale wherever opportunity takes them.
The Next Frontier of MVNO CX Personalization, Proactivity, and AI
The Next Frontier of MVNO CX: Personalization, Proactivity, and AI. The MVNO market is evolving rapidly and the MVNOs are facing high competition due to which they can no longer rely only on price differentiation to win and retain customers.
Core Network Architecture for MVNO’s
Core Network Architecture for MVNO’s. The MVNO core network isn’t just a technical backend—it’s the engine that powers …
Monetizing Intelligence
Monetizing Intelligence. During the last few months, we have discussed several aspects related to data, AI and its impact in the MVNO industry.
AI must be foundational, not an add-on
AI must be foundational, not an add-on. When glancing through the previous guest blogs, it is impossible to miss all the promises…
AI Readiness Maturity Score
AI Readiness Maturity Score. There is an increasing hype around AI technologies among our Global MVNO industry, but very scarce real cases…
