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Applying AI in Business - A Framework for AI Implementation in Product Offerings

Regefalk, Viktor LU (2020) In CODEN:LUTEDX/TEIE EIEM01 20201
Division for Industrial Electrical Engineering and Automation
Abstract (Swedish)
Artificial Intelligence (AI) is on its way to enter the world of business and there are huge potentials for companies who take advantage of the technology. However, to succeed with a new technology like AI there is a need for guidance. This thesis examines how businesses can implement AI in their product offering.
This thesis project investigates the implementation of AI in product offerings by first examining academic books and research papers about implementation strategies and product innovation methods. In the second part, empirical observations from Company X and their work with AI are collected. A framework for AI implementation is constructed considering the findings from the literature study and the empirical data from Company X.... (More)
Artificial Intelligence (AI) is on its way to enter the world of business and there are huge potentials for companies who take advantage of the technology. However, to succeed with a new technology like AI there is a need for guidance. This thesis examines how businesses can implement AI in their product offering.
This thesis project investigates the implementation of AI in product offerings by first examining academic books and research papers about implementation strategies and product innovation methods. In the second part, empirical observations from Company X and their work with AI are collected. A framework for AI implementation is constructed considering the findings from the literature study and the empirical data from Company X. This framework aims to give guidance to organizations in their work with AI and product development.
The main conclusion from the study shows that implementing AI is more of an organizational difficulty than a technical one. Firstly, implementing AI in product offerings requires close cooperation with the product-user during the whole process. Secondly, organizations need to have a committed management team that dares to invest in AI resources. Lastly, having the necessary competence within AI and data science is crucial, which is a scarcity in today’s labor market. However, organizations should not feel obligated to develop all competencies internally, the optimal strategy might be to collaborate with external technology partners for accessing needed capabilities. (Less)
Please use this url to cite or link to this publication:
author
Regefalk, Viktor LU
supervisor
organization
course
EIEM01 20201
year
type
H3 - Professional qualifications (4 Years - )
subject
keywords
Artificial Intelligence, AI, Innovation, Product Development, Business Implementation, Framework
publication/series
CODEN:LUTEDX/TEIE
report number
5441
language
English
id
9019490
date added to LUP
2026-09-28 11:47:46
date last changed
2026-09-28 11:47:46
@misc{9019490,
  abstract     = {{Artificial Intelligence (AI) is on its way to enter the world of business and there are huge potentials for companies who take advantage of the technology. However, to succeed with a new technology like AI there is a need for guidance. This thesis examines how businesses can implement AI in their product offering.
This thesis project investigates the implementation of AI in product offerings by first examining academic books and research papers about implementation strategies and product innovation methods. In the second part, empirical observations from Company X and their work with AI are collected. A framework for AI implementation is constructed considering the findings from the literature study and the empirical data from Company X. This framework aims to give guidance to organizations in their work with AI and product development.
The main conclusion from the study shows that implementing AI is more of an organizational difficulty than a technical one. Firstly, implementing AI in product offerings requires close cooperation with the product-user during the whole process. Secondly, organizations need to have a committed management team that dares to invest in AI resources. Lastly, having the necessary competence within AI and data science is crucial, which is a scarcity in today’s labor market. However, organizations should not feel obligated to develop all competencies internally, the optimal strategy might be to collaborate with external technology partners for accessing needed capabilities.}},
  author       = {{Regefalk, Viktor}},
  language     = {{eng}},
  note         = {{Student Paper}},
  series       = {{CODEN:LUTEDX/TEIE}},
  title        = {{Applying AI in Business - A Framework for AI Implementation in Product Offerings}},
  year         = {{2020}},
}