How digital transformation projects can choose an AI business model and overcome the distrust from previous failures / Alex Zarifis and Xusen Cheng.

Format:

Book

Author/Creator:

Zarifis, Alex, author.

Cheng, Xusen, author.

Series:

SAGE business cases.

SAGE business cases

Language:

English

Subjects (All):

Project management--Case studies.

Project management.

Artificial intelligence--Case studies.

Artificial intelligence.

Physical Description:

1 online resource : illustrations.

Place of Publication:

London : SAGE Publications: SAGE Business Cases Originals, 2026.

Summary:

This project started with the purpose to implement the latest AI for an insurer faster than the competition but had to become broader looking at digital transformation more holistically. Trauma and lack of trust among the employees of the insurer caused by a previous attempt to lead in technology, made a more holistic approach necessary. The trauma of previous failed innovations was overcome by co-developing and achieving broad agreement on a new business model. The new business model kept the existing services and operations mostly intact but added new services to fully utilize AI. This approach kept the risk at a level the main stakeholders were comfortable with. This project adapted one current tool and developed one new framework that will benefit similar projects focused on integrating AI. Utilizing the updated business model canvas customised by adding dedicated sections for AI and trust was beneficial. Additionally, this project developed the six AI focused insurance business models that offer a roadmap for the success of a digital transformation project. The main learning outcome is to understand how to utilize these tools to implement a project of digital transformation towards an AI focused business model.

Notes:

Description based on XML content.

ISBN:

979-83-488-5389-1

OCLC:

1569208942

Publisher Number:

T301216