Deutsche Telekom and Google Cloud have developed and implemented a multi-agentic AI system to enable autonomous diagnostics and operations across complex, multi-domain telecommunications networks.

It is called MINDR, for multi-agentic intelligent network diagnostics and remediation.

Recent studies from the GSMA indicate network quality remains a top concern for consumers when it comes to the loyalty. As a cornerstone of an expanded AI partnership, MINDR shifts network operations from reactive troubleshooting to predictive, service-driven automation across the end-to-end network, detecting, diagnosing and resolving issues before the customer experience is affected.

For Deutsche Telekom customers, this means a shift in how they experience connectivity: rather than waiting for a technician to fix a reported outage, MINDR ensures the network stays ahead of the problem.

MINDR comes as an evolution of Deutsche Telekom’s RAN Guardian Agent, which is already live in Germany. The RAN Guardian, built with Google’s Gemini models, monitors network behaviour during high-impact events and traffic surges to maintain network quality.

Since its launch in November last year, RAN Guardian Agent has autonomously triggered over 100 remediation actions at Christmas market events during its first month. And in live operations it has reduced the time needed to manage major events from hours to around a minute, a more than 95% improvement.

For 2026, it has identified 237,000 events. And during the February Carnival season in Germany for example, it identified around 130 Carnival events and parades, each expected to draw over 10,000 participants. These were served by 611 different mobile sites, all pre-checked for issues by RAN Guardian, with most also monitored live. Only five sites experienced peak loads; RAN Guardian optimised the network by adjusting those sites during the event.

Following its successful rollout in Germany, RAN Guardian is now scaling across Deutsche Telekom’s European national companies, starting with the Czech Republic and Croatia.

“With the RAN Guardian Agent, we demonstrated how agentic AI can enhance network operations to consistently deliver the highest quality of experience for our customers,” said Abdu Mudesir, board member at Deutsche Telekom (www.telekom.com). “MINDR extends AI-driven intelligence from individual network domains to an end-to-end service approach, enabling us to proactively diagnose and resolve issues before any customer impact. It represents another significant step towards autonomous, self-healing networks.”

Muninder Sambi, vice president at Google Cloud (cloud.google.com), added: “The path to a fully autonomous, self-healing network is not just a vision; it is being realised today through our expanded strategic AI partnership with Deutsche Telekom. MINDR, built with Google’s Gemini models, is the next critical evolution, by leveraging AI for end-to-end service intelligence across the entire network, providing a highly resilient infrastructure and helping ensure every customer receives a superior, hyper-relevant experience.”

As modern networks span multiple domains and technologies, operational teams often rely on fragmented systems that slow root-cause analysis and resolution. While the RAN Guardian Agent focuses on the radio access network (RAN) domain, MINDR applies the same agentic principles at the service level across the entire network, including the RAN, transport and core domains.

Developed with Google Cloud’s autonomous network operations framework, and built with Google Gemini models on Vertex AI, MINDR correlates signals end to end across network domains to identify proactively service-impacting issues and support autonomous, explainable remediation. This has been designed, tested and verified by Deutsche Telekom with first production releases planned for later this year.

MINDR operates as a collaborative multi-agent system and intends to use the A2A (agent-to-agent) protocol for agent coordination, subject to its availability. Specialised agents collect and correlate network data, build a real-time, end-to-end view of service performance, and support root-cause analysis and controlled remediation across domains.

By automating detection and correlation and enabling explainable AI-driven actions, MINDR helps reduce operational complexity, accelerate response times and lower service disruption, helping Deutsche Telekom advance towards fully autonomous network operations.

This collaboration marks the beginning of a broader partnership for the joint development and integration of an AI-first focus across both companies’ products and services.