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Adtran deploys AI agents to assist service provider operations

Adtran launched Mosaic One Agents on October 8, 2026, a suite of AI agents built on its Mosaic One Fabric platform that gives role-based agent teams access to data from Adtran and third-party networks for network management, customer care and business operations. The agents use deterministic intelligence including root-cause analysis, cross-domain correlation and service-impact assessment, with built-in governance and runtime guardrails that let users set autonomy levels from surfacing recommendations to staging actions for approval or operating within predefined boundaries. Adtran said every step remains visible and traceable, and autonomy can be increased over time as confidence grows.

read1 min views1 publishedOct 8, 2026
Adtran deploys AI agents to assist service provider operations
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Adtran has introduced AI agents for its Mosaic One Fabric platform to assist in areas such as network management, customer care and business operations. #pressrelease

October 8, 2026

Adtran today launched Mosaic One Agents, a suite of AI agents designed to help organizations scale expertise across network management, customer care and business operations. Built on Mosaic One Fabric, it gives role-based agent teams access to data from Adtran and third-party networks, enabling them to investigate issues, coordinate work across teams and drive issues through to resolution. By handling time-consuming investigation, coordination and process tasks, Mosaic One Agents helps people resolve issues faster, extend their expertise across more workflows and retain control of critical network and business actions.

Rather than operating in isolation, the agents draw on the shared intelligence of Mosaic One Fabric. The platform normalizes telemetry across Adtran and third-party hardware, giving agents a unified view across network domains. Deterministic intelligence, including root-cause analysis, cross-domain correlation and service-impact assessment, helps agents investigate issues, evaluate options and advance complex workflows. Built-in governance and runtime guardrails let users define the level of autonomy for each use case, from surfacing recommendations to staging actions for approval or operating within predefined boundaries. Every step remains visible and traceable, and autonomy can be increased over time as confidence grows.

Read the full press release here.

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