Case Study | AI Technical Documentation
Welding tool manufacturing company
Artificial intelligence transforms the way the organization uses its knowledge: from searching multiple sources to getting accurate answers about products, components, and decisions in seconds.
GOAL
Implement an AI-based solution with a clear objective: to enable engineering teams to ask questions about products and get answers in seconds.Knowledge ceases to be individual and becomes an organizational capability accessible in real time.
STRATEGY
- RAG Architecture → The AI agent understands what information the user needs and retrieves only the relevant data for each query.
- Conversational AI → The agent generates a direct, clear, and contextualized response in natural language.
- Contextualization and Reliability → The agent always indicates the source document or record.
- Multi-format → The agent can provide answers in table, graph, or visual format.
RESULTS
- Overall acceleration of engineering tasks by over 65%
- Reduction in the time needed to understand products, components, and manufacturing changes by over 70%
- Increased team productivity by eliminating time spent searching for and interpreting information
- Faster resolution of product and manufacturing-related issues
Task acceleration 65%
Time reduction 70%
Increased productivity
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