Solving the AI accuracy problem for Product Support | November 20th at 3 pm ET / 12 pm PT | Register Here

Book a Demo
Artificial Intelligence
Entity Extraction
Entity Linking
Large Language Models
RAG
Entity Graph

Expediting field service repairs with Agolo GraphRAG

Scott Hoffman
Scott Hoffman
Aug 12, 2024

We recently started working with a global manufacturing company to implement critical improvements to the accuracy of their GenAI applications used by field services technicians.

When technology meets precision, the results are truly transformative. Agolo’s GraphRAG is setting a new standard for field services repair teams.

The problem

Technicians in the field are diagnosing and repairing complex equipment under tight deadlines and need the most accurate and relevant results available to them.

When a technician is faced with a challenging repair, they consult documentation delivered to them via a GenAI application.

With only simple, naive RAG implemented, the company estimates 45-55% accuracy in results delivered through their RAG-based GenAI solution. 

The company was in search for ways to improve the accuracy of their results. They didn’t feel comfortable rolling out a solution with confidence unless accuracy reached 90%, with links to the source documentation for quick verification of results.

As a result, adoption is well below expectations, which means that the company is not achieving its intended ROI. That means:

  • Future GenAI initiatives are in question
  • Teams that are depending on that application find it harder to meet their own KPIs
  • Customers lose trust in support teams, which results in lost customers

With Agolo’s GraphRAG solution, the company is significantly outperforming these levels.

The solution

The manufacturing company implemented Agolo GraphRAG for a small set of field teams to measure its impact on results accuracy.

The company now uses our platform to structure and analyze more than 100,000 different types of documents, from sources such as knowledge base articles, user manuals, trouble-shooting guides, and user forums.

This delivers actionable, context-aware insights directly to the technicians who need them. And that means: When a technician is faced with a challenging repair, Agolo GraphRAG ensures they have the most precise and relevant guidance at their fingertips.

The results

The pilot team is seeing the required increase in accuracy and decrease in hallucinations, resulting in smoother operations, quicker turnaround times, and ultimately, a more reliable production process. When implemented at scale, Agolo GraphRAG can deliver:

  • Industry-leading accuracy: By leveraging advanced data structuring, GraphRAG enhances GenAI’s ability to offer precise repair instructions and diagnostics. This precision reduces errors and accelerates repair processes.
  • Enhanced efficiency: Technicians receive tailored, actionable insights without sifting through irrelevant data. This streamlined approach minimizes diagnostic time and expedites repairs, leading to less downtime and improved productivity.
  • Real-time support: GraphRAG’s real-time data processing means technicians get immediate, relevant recommendations, allowing them to make informed decisions quickly and confidently.

This global manufacturing company has been able to start small with us to deliver big results. In a world where new AI-backed promises are being made daily, Agolo GraphRAG provides critical improvements to the accuracy and results of GenAI applications to turn promises into practice.