AI-based field technician support tool

About

An LLM-based (RAG) system for assisting field technicians with integrated device instructions and manuals and a ticketing system. Read more

CASE STUDY DETAILS

Under MNDA

Enterprise/Corporation

Undisclosed, Switzerland

Project work

1 - 5 people

Ongoing

Between €200k-€250k

Agile

FOCUS AREA

Challenge, approach, and impact

  • Multiple data sources

    To fully utilize RAG architecture, we have to integrate a dynamic database that will be embedded to enable LLM-based search

  • UX Design

    Design of an ergonomic, web-based UI for querying the engine and displaying results

  • System design

    Rich prompt engineering is necessary to make the conversational agent helpful, especially considering edge cases and possible hallucinations.

Testimonials

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Enterprise/Corporation

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Enterprise/Corporation

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Enterprise/Corporation

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Enterprise/Corporation

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“X“ Read more

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Enterprise/Corporation

VERIFIED

Two blue lines

“X“ Read more

X

Enterprise/Corporation

VERIFIED

Team Structure

Client Team

Daily point of contact

Cuau

Head of Competence Center Service

Cuau C

Client logo

Agency Team

Production

1 x CTO

Production

1 x AI Expert

Production

1 x Senior Fullstack Engineer

Production

1 x UX Designer

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