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.

Malamova, Elena, 2025

Type of Thesis Master Thesis
Client
Supervisor Giovanoli, Claudio, Witschel, Hans Friedrich
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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
Malamova, Elena
Supervisor
Giovanoli, Claudio, Witschel, Hans Friedrich
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