Integration of custom AI in Consulting’s Decision-Making: Prototype Implementation & Consultants’ Perspectives on Adoption

This thesis explored the potential of integrating custom AI solution, particularly Large Language Models (LLMs), with a Case-Based Reasoning (CBR) framework to support decision-making in consulting environments.

Elena Malamova, 2025

Type of Thesis Master Thesis
Client
Supervisor Claudio Giovanoli & Hans Friedrich Witschel
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The proposed solution centred on the development and evaluation of a prototype that leverages retrieval-augmented generation (RAG) to address key challenges identified in the consulting domain. These include the need for customization, data retrieval efficiency, and maintaining consistency in outcomes.
Studyprogram: Business Information Systems (Master)
Keywords Artificial Intelligence, Large Language Models, Case-Based Reasoning, Decision-Making, Retrieval-Augmented Generation
Confidentiality: öffentlich
Type of Thesis
Master Thesis
Authors
Elena Malamova
Supervisor
Claudio Giovanoli & Hans Friedrich Witschel
Publication Year
2025
Thesis Language
English
Confidentiality
Public
Studyprogram
Business Information Systems (Master)
Location
Olten
Keywords
Artificial Intelligence, Large Language Models, Case-Based Reasoning, Decision-Making, Retrieval-Augmented Generation