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Faster issue resolution means less downtime and happier end users. Orion’s GenAI agent helped field technicians at a major telecom access critical information and resolve issues quickly and efficiently.

The client is a leading telecommunications provider in North America, generating approximately $24 billion in revenue. Their field services ensure that networks remain operational, service disruptions are minimized, and customers receive reliable connectivity.

Challenge

The client’s Field Service Assurance Team is responsible for managing assets and resolving technical issues.  However, they faced inefficiencies due to a vast, unstructured repository of complex documents in multiple formats. As the network has evolved to include new technologies from a multitude of vendors, the complexity of triaging and resolving issues requires unique expertise.

Field technicians struggled to quickly find relevant information, leading to longer resolutions and impacting service reliability. With network uptime being mission-critical, the client needed a solution to enable their field technicians to effectively troubleshoot issues and accelerate service restoration.

Solution

Orion designed and developed a Generative AI agent that acts as a real-time knowledge assistant, allowing field technicians to retrieve critical information instantly and resolve issues faster. 

Key features of the solution included: 

  • AI-powered search and retrieval uses Retrieval Augmented Generation (RAG) to seamlessly integrate into the client’s Large Language Model (LLM) platform, to deliver accurate and context-aware results from the client’s document repositories.
  • Google Cloud’s Gemini Pro tools enable the system to process a wide range of document formats with high accuracy, ensuring technicians get reliable, precise answers. 
  • Vector Database (Vector DB) provides fast search results while enforcing strict security and access controls.
  • Cost-efficient cloud architecture, ensuring smooth integration with client’s existing systems, optimizing costs while enhancing performance.

Impact

The GenAI agent transformed the client’s field operations. By giving technicians instant access to the right information, they were able to resolve issues quickly and efficiently, cutting out time spent searching documents and allowing them to focus on solving problems.

This shift not only made their workflow smoother, but it also led to happier customers. Faster resolutions meant a more reliable network, ensuring that end users experienced minimal downtime and more consistent service.

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FAQs

Your questions,
answered.

A generative AI agent in field service is a digital assistant that helps technicians find answers from documents, systems, and knowledge bases. It supports faster troubleshooting by giving users relevant information in real time. 

Telecom field technicians need AI assistants because network environments are complex and technical information is often spread across many documents. AI assistants help technicians quickly find the right guidance and reduce time spent searching.

Retrieval Augmented Generation, or RAG, helps AI systems retrieve relevant information from approved documents before generating answers. This improves accuracy and gives technicians more context-aware responses for troubleshooting network issues. 

A vector database helps AI systems search large document collections quickly and accurately. It supports semantic search, meaning technicians can find relevant information even when they do not know the exact keywords. 

Faster issue resolution is important because telecom networks must remain reliable and available. When technicians resolve problems quickly, service disruptions are reduced, downtime is minimized, and customers receive more consistent connectivity. 

Telecom companies should use GenAI agents when teams need fast access to complex technical knowledge across multiple systems, vendors, or document formats. They are useful for troubleshooting, field service, maintenance, and service assurance. 

AI-powered knowledge retrieval helps employees find relevant information faster, reduce manual document searches, and make better decisions in the field. It improves productivity by turning large, unstructured knowledge repositories into searchable support tools. 

GenAI can improve customer experience by helping technicians restore services faster and reduce downtime. When field teams resolve issues quickly, customers experience fewer disruptions and more reliable network connectivity. 

Answer