Pattern-based framework for managing artificial intelligence innovation in scaled agile environments

Abstract

This paper addresses the systemic challenges of integrating Artificial Intelligence (AI) into products within scaled Agile environments. It proposes a pattern-based organizational framework to manage the high uncertainty and complexity of AI projects. The framework introduces a dual-track system, utilizing a specialized best practices (patterns) AI Leading Team for discovery and Feature Teams for delivery, alongside a new AI Product Owner role. This process model offers a structured, de-risked approach on artificial intelligence (AI) in team management to managing innovation, ensuring development flow is maintained.