Strategically accelerating internal Generative AI adoption in Agile Software development practises
A developer-oriented method to increase knowledge sharing on generative AI within a management consulting firm
J.T. Lentjes (TU Delft - Industrial Design Engineering)
Giulia Calabretta – Graduation committee member (TU Delft - DesIgning Value in Ecosystems)
PA Lloyd – Mentor (TU Delft - Creative Processes)
C. Hoogendijk – Mentor (KPMG)
More Info
expand_more
Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.
Abstract
This graduation report uses the Double Diamond design framework to explore the integration of Generative AI within a specific software development team at KPMG N.V.. The objective was to understand the current stage of GenAI Adoption, identify opportuntiies to accelerate this integration and develop a design intervention to improve internal knowledge sharing specific to the needs of the software developers.
The initial chapters introduce the project scope, goals and structure. A foundational understanding is provided outlining the key concepts within AI. Followed by an overview of Agile Software development methodologies to understand how these concepts intersect. Existing literature highlighted both the opportuntieis and complexities of integrating GenAI within software engineering and the importance of AI literacy and strategic task delegation.
The organisational context was examined and understanding this structure helped to define the identified problem. Using various sources the GenAI usage is mapped and key barriers were identified, such as limited knowledge sharing which served as foundation for the subsequent solution phase.
Design requirements wre shaped by insights from feasibility, viability and desirability. Co-creation sessions were hosted and many ideas were developed and merged together into the final GenAI show-and-tell method. This method is supported by two tools: the use case template and the WALL OF FAIME. Several validation efforts were made to confirm alignment with end-user needs as well as KPMG’s broader AI Adoption Strategy.
The final method and tools aim to build a culture of knowledge sharing, support experimentation with GenAI and enhance team-wide adoption through learning from direct colleagues. The projects implications and limitatons are discussed but early validation shows promising for impact, usability and alignment with KPMGs goals. Ultimately, this project demonstrates the value of a strategic design mindset within a large management consulting firm!