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For eeNews Europe readers, the move highlights how telecom operators are increasingly turning to AI automation and predictive operations to manage software-defined networks and improve customer experience. It also reflects the growing role of agentic AI in telecom infrastructure, operations, and service assurance.
According to Incedo, telecom providers are struggling with fragmented legacy systems, increasing capex costs and more demanding network environments. The company says older operating models built around manual workflows and disconnected systems are making it harder for operators to scale efficiently.
To address that challenge, Incedo is introducing AI native operating models that combine intelligent agents, real-time decision making, and autonomous operations across network management, customer engagement, and service delivery.
The company says its systems are designed to predict network disruptions and resolve incidents automatically before customers notice service issues. That capability is becoming increasingly important as telecom networks become more software-defined and data-intensive.
“Our mission in Canada is not incremental improvement — it is to fundamentally reimagine what a telecom enterprise can achieve when intelligence is at its core,” said Nitin Seth, Co-founder & CEO of Incedo Inc. “By becoming truly AI-native, telecom leaders can stop reacting to the market and start shaping it, turning every network signal into a revenue opportunity and every customer interaction into a loyalty moment.”
At the summit, Incedo showcased several AI focused platforms aimed at telecom operators. These include Incedo Proxima, which combines network telemetry with financial and competitive data to identify churn risks in real time.
The company also introduced its Smart Network Change Management platform, which automates network upgrades using zero touch automation and intelligent scheduling. In addition, Incedo presented its Agentic AI Operations Platform, designed to unify service assurance and cybersecurity operations through autonomous remediation tools.
Supporting these systems is Incedo DataXel, a GenAI enabled modernization suite that converts legacy telecom data into AI ready assets.
Beyond the technology itself, Incedo says the strategy is about helping operators evolve from connectivity providers into digital service businesses capable of monetizing 5G and fiber investments more effectively.
The Canadian expansion also coincides with CEO Nitin Seth’s keynote presentation, “Building an AI-Native Enterprise,” where he called on telecom leaders to redesign workflows and operations around AI rather than treating the technology as a series of isolated experiments.
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