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UK - London
Italy - Brescia

supporto@innovationgroup.me

Technical Customer Support

Client

A leading industrial machinery manufacturer

Sector

Industrial Equipment, Heavy Machinery, Naval & Sheet Metal Processing

Offering

AI-Powered Technical Support Automation

/ Support / 

/ Manufacturing

Fast and accurate answers for complex and customised equipment manuals

Context

A specialist in the design, construction, and sale of plate rolling machines, profile bending machines,
dished head machinery, and special equipment, including naval presses and sheet straightening
machines. The company sells complex and customized machinery, each equipped with a dedicated instruction manual.

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” 40,000+ unique instruction manuals using multi-level RAG.

➤ A “Father Bot” routes queries to machine-specific “Child Bots” for accurate replies.

When clients reported a technical issue, support agents had to search massive document libraries to find the right manual and respond appropriately. GAIA now automates this with structured prompt engineering and document-grounded AI, eliminating guesswork and accelerating response times, while keeping the information 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. It dramatically reduces manual workload, improves answer reliability, and optimizes operational costs—combining advanced prompt engineering with a multi-level RAG architecture.

Accelerated Technical Support
GAIA ingests over 40,000 instruction manuals and delivers a cited answer in seconds, eliminating the slow, error-prone manual searches that once burdened the support team.

Hallucination-Free Accuracy
A multi-level RAG architecture—featuring a “Father Bot” orchestrating machine-family “Child Bots”—ensures that every answer is traceable, precise, and grounded in the correct manual.

Lower Support Cost
Automated document retrieval and answer generation significantly reduce labor hours, cutting operational expenses and freeing engineers to focus on higher-value tasks.

Tens of
Thousands
Instruction manuals indexed and searchable
Costs
Reduced operational load for support teams

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UK – London
Italy – Brescia

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