From Strategy to Implementation: An Organizational Framework for Integrating AI-Enabled Services
Bhattarai, Shishir (2026)
2026
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-202603275102
https://urn.fi/URN:NBN:fi:amk-202603275102
Tiivistelmä
The objective of this thesis is to support organizations in successfully integrating AI-enabled services by addressing organizational constraints that lead to project failure. The development task focuses on identifying AI integration constraints from an organizational perspective and prototyping a practical framework. This framework will guide the design and implementation of AI-enabled services.
This research uses a design methodology based on abductive research, inductive approaches, and constructive research. This methodology is executed using the Inclusive Design Toolkit developed by the University of Cambridge. This toolkit includes the following steps: Manage, Explore, Create, and Evaluate. In the Explore step, data were collected through desk research and participatory observation. In the Create phase, the data were analyzed using affinity mapping, and a new prototype framework was developed. And, in the Evaluate phase, the prototype framework was used to integrate AI code-assistance tools in the software development process. Furthermore, the prototype framework is co-evaluated with an AI. The AI is prompted to act as a representative of a school that would like to integrate AI services in the teaching and learning environment and was asked for feedback.
The findings indicate that ethics, privacy and security, compliance and regulation, environmental impact, AI algorithms and data, organizational culture, alignment with vision and mission, and an iterative measure, reflect, and improve approach are critical in integrating AI-enabled services. This study proposes a structured, iterative framework grounded in Dynamic Capabilities Theory that integrates Systemic Design and AI Risk Management principles. The proposed new framework bridges the design theory and real-world implementation.
This research uses a design methodology based on abductive research, inductive approaches, and constructive research. This methodology is executed using the Inclusive Design Toolkit developed by the University of Cambridge. This toolkit includes the following steps: Manage, Explore, Create, and Evaluate. In the Explore step, data were collected through desk research and participatory observation. In the Create phase, the data were analyzed using affinity mapping, and a new prototype framework was developed. And, in the Evaluate phase, the prototype framework was used to integrate AI code-assistance tools in the software development process. Furthermore, the prototype framework is co-evaluated with an AI. The AI is prompted to act as a representative of a school that would like to integrate AI services in the teaching and learning environment and was asked for feedback.
The findings indicate that ethics, privacy and security, compliance and regulation, environmental impact, AI algorithms and data, organizational culture, alignment with vision and mission, and an iterative measure, reflect, and improve approach are critical in integrating AI-enabled services. This study proposes a structured, iterative framework grounded in Dynamic Capabilities Theory that integrates Systemic Design and AI Risk Management principles. The proposed new framework bridges the design theory and real-world implementation.