Cross-Functional AI Task Forces (X-FAITs) for AI Transformation of Software Organizations
Lucas Gren, Robert Feldt
TL;DR
The paper addresses the gap between strategic AI ambitions and operational execution in software organizations, caused by fragmentation and governance barriers. It introduces the Cross-Functional AI Task Force (X-FAIT), combining Lewin's force field change theory with the AI-SEAL taxonomy to coordinate AI initiatives across departments, embed risk management, and foster cross-functional learning. The approach includes Dimensional Risk Analysis and Risk-Aware Implementation Sequencing to guide task selection and sequencing, plus force field analysis to balance driving and restraining forces. In a case study of a Swedish, highly regulated, distributed software company, X-FAIT demonstrates early benefits such as improved cross-department collaboration, clearer alignment with corporate strategy, and enhanced governance, offering a practical pathway for AI transformation in complex organizations. The work contributes both theoretical insights into organizational transformation and actionable guidance for software firms seeking scalable, governance-aware AI adoption, while highlighting the need for adaptation across sizes and regulatory environments.
Abstract
This experience report introduces the Cross-Functional AI Task Force (X-FAIT) framework to bridge the gap between strategic AI ambitions and operational execution within software-intensive organizations. Drawing from an Action Research case study at a global Swedish enterprise, we identify and address critical barriers such as departmental fragmentation, regulatory constraints, and organizational inertia that can impede successful AI transformation. X-FAIT employs force field analysis, executive sponsorship, cross-functional integration, and systematic risk assessment strategies to coordinate efforts across organizational boundaries, facilitating knowledge sharing and ensuring AI initiatives align with objectives. The framework provides both theoretical insights into AI-driven organizational transformation and practical guidance for software organizations aiming to effectively integrate AI into their daily workflows and, longer-term, products.