Artificial Intelligence (AI) holds transformative potential for many fields including the finance sector. However, identifying suitable tasks for artificial intelligence implementation remains a challenge. This study proposes the artificial intelligence readiness task assessment tool, empowering finance professionals to assess task suitability for AI implementation from a bottom-up perspective. Artificial intelligence adoption often encounters barriers such as costs, compatibility, and skill gaps. The proposed tool addresses these challenges by allowing finance professionals to gauge artificial intelligence suitability for specific tasks without requiring extensive AI knowledge. The tool follows a design science research approach, ensuring it is user-friendly and effectively addresses real world challenges. The proposed tool is comprised of three sections: task framing, task assessment, and results interpretation. Unlike existing methodologies that focus on organization wide artificial intelligence readiness, the proposed tool centers on task specific readiness. This innovative approach provides practical guidance for finance professionals seeking to leverage artificial intelligence and helps organizations realize the potential of AI more effectively.

Following the invention of Artificial Intelligence (AI) and its rapid dissemination across the globe, organisations have been experiencing a significant shift in processes, performance, and business models. As a result of the hype created by the release of ChatGPT, both the business and academic world has approached AI with a new and enormous interest. However, studies about different aspects in relation to perceptions and attitudes towards AI adoption in the private sector, and particularly, case studies are limited.  Aim: This Bachelor’s thesis aims to analyse the perceptions of management, IT management, and frontline employees about the implementation and impact of AI in large companies, focusing on Scania as a representative of a large automotive multinational corporation. Through the study, we attempt to explore the perceptions about a range of aspects about AI, such as its impact on change in organisation, impact on job and skills, trust in AI, AI opportunities and risk. We also aim to understand the effect of the advent of ChatGPT on perceptions about AI and its integration in organisation.  Methodology: This thesis is a qualitative case study that employed semi-structured interviews for collection of empirical data. The sample was generated through convenience sampling and included representatives of the company of following groups: IT-managers, managers, and non-managerial employees. This ensured a broad representation of views concerning AI implementation and impact in Scania. Conclusion and Contribution: Our findings reveal that AI implementation and impact perceptions range depending on job roles, primarily when it comes to the perceptions towards AI usefulness, risks and opportunities, and its impact on jobs. Additionally, we argue that the launch of ChatGPT has enhanced AI’s awareness and acceptance as a new technology. The thesis can be utilised as a basis for future studies on perceptions and factors affecting AI implementation and impact of representatives of different job positions and levels, as well as a guidance for managers on employees' awareness, expectations, and opinions on AI.