Deutsche Telekom is extending agentic AI from the radio network to network-wide operations, according to RCR Wireless on 21 October, reporting on DT's AI Investor Day. RAN Guardian, live in Germany since November 2025, uses 3 agents: one scans public and social media and other sources for events, one categorizes events and assesses their network impact, and one remediates ahead of the event through carrier aggregation, uplink adjustments and antenna tilt changes. A cross-domain platform called MINDR is in development, with an initial MVP in Germany by the end of 2026.
Capacity against realised results
Chief network officer Armin Sumesgutner said the agentic approach can analyze and remediate 100,000 events, against about 1,000 handled manually before, with a goal of avoiding 24 million minutes of poor customer experience. RAN Guardian triggered more than 100 remediation actions autonomously in its first month. That is a long way from the 100,000 events of capacity, and RCR does not report actions since. MINDR targets more than 90% automated ticket handling, issue qualification in under 15 minutes, incident resolution in under 1 hour and a 30% productivity improvement.
Level 4 with a human approver
DT states the goal as Level 4 autonomous networks. Group technology officer Arash Ashouriha said that for every critical change there will always be a human in the loop. In the TM Forum framework, Level 3 is conditional autonomy with human oversight, and Level 4 is intent-driven, closed-loop operation with minimal human intervention for routine tasks. Autonomous fixing of low-impact issues with human approval of critical ones fits that wording, but it means the level describes the routine tail and not the changes that carry risk. The approval boundary is therefore the design object: which changes count as critical, who holds the authority to make them, and what record is kept. That is the authority-boundary and audit-trail question in Agentic AI: Autonomous Agents Governance and Enforcement, and the reason I argued in DTW Ignite 2026: The API Is Not Enough that the API layer alone does not supply it.
Ericsson's Mats Karlsson told Fierce Network at the OSS/BSS Summit in Zurich on 20 October that AI automation is not network autonomy and that autonomy levels should not be treated as a numbers game. His example was that a Level 4 investment for a task performed twice a year may never pay back, while automating a task run 1,000 times a day changes the equation. DT's numbers fit that frame, since RAN Guardian earns on event volume. The figures still to be published are the actions executed to date, the share needing human involvement, and the minutes avoided measured against the 24 million goal.
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