Client
A leading industrial machinery manufacturer
Sector
Industrial Equipment, Heavy Machinery, Naval & Sheet Metal Processing
Offering
AI-Powered Technical Support Automation
/ Support /
/ Manufacturing /
GAIA integrates an AI-powered plant handling system for Faccin, automating complex workflows, optimizing throughput, and reducing operational downtime.
Context
A specialist in designing, constructing, and selling plate rolling machines, profile bending machines, dished head machinery, and other special equipment, including naval presses and sheet straightening machines. Each machine comes with a dedicated instruction manual, making the documentation complex and customised.
Challenge & Solutions
➤ Slow, manual retrieval of technical manuals created bottlenecks in customer support.
➤ Standard LLMs returned plausible but incorrect answers due to manual similarity.
➤ GAIA understands over 40,000 unique instruction manuals through a multi-level RAG architecture.
➤ Queries are routed via a “Father Bot” to machine-specific “Child Bots,” ensuring precise replies.
Previously, when clients reported a technical issue, support agents had to search massive document libraries to find the correct manual. This process was slow and error-prone. With GAIA, automation through structured prompt engineering and document-grounded AI eliminates guesswork. As a result, response times are accelerated while sensitive information remains private.
GAIA brings the certainty of source-based knowledge to technical support, transforming 40,000 manuals into seconds of clarity.
Impact
Key Outcomes
GAIA transforms technical support by delivering fast, accurate, and document-grounded responses. Moreover, manual workload is dramatically reduced, answer reliability improves, and operational costs are optimized through multi-level RAG architecture.
➤ Accelerated Technical Support
By ingesting over 40,000 manuals, the system provides cited answers in seconds. Consequently, support teams no longer perform slow, error-prone manual searches.
➤ Hallucination-Free Accuracy
The multi-level RAG architecture, with a “Father Bot” orchestrating “Child Bots,” ensures every answer is traceable, precise, and grounded in the correct manual.
➤ Lower Support Cost
Automated document retrieval and answer generation reduce labor hours. Consequently, operational expenses drop, allowing engineers to focus on higher-value tasks.
Thousands
Instruction manuals indexed and searchable
Reduced operational load for support teams
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Offices
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