This week The Prompt Economy weekly dials up the telecom sector. It’s here that developers and engineers are exploring new ways to incorporate agentic artificial intelligence to fix problems and create a better customer experience.

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For example: Nokia says AI agents can help telecom engineers find and fix network problems faster. In an Oct. 27 article, Nokia’s Martin Holecek describes a system that lets engineers request help using everyday written or spoken language. The system brings together information and tools that engineers would otherwise check separately. Nokia says it’s already using this approach in its network design and improvement services. The goal is to reduce time spent gathering information and give engineers more time to resolve service problems.

Dropped calls offer one example of how the approach could work. An engineer could ask an AI agent to track call failures and investigate when they exceed an acceptable level. The agent could identify likely causes, recommend a fix and carry it out with human approval. It could then check the results and summarize what changed.

Nokia argues that this approach could reduce repetitive work and help teams apply expert knowledge more consistently. Engineers would retain control over consequential actions. The article doesn’t provide measured results, so the expected gains in speed and service quality remain unquantified.

Engineers and developers, as the Nokia report shows, are the targets at this point for agentic deployment.

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