https://engineering.hinshelwood.com/tags/ai-product-operating-model/ Recent content in AI Product Operating Model on Engineering as a Leadership System Hugo en Tue, 16 Jun 2026 17:40:35 +0000 https://engineering.hinshelwood.com/guides/kendall-guide/ Wed, 17 Sep 2025 00:00:00 +0000 https://engineering.hinshelwood.com/guides/kendall-guide/ A practical framework guiding organisations to adopt AI by prioritising real problems, clarifying context, and enabling adaptive, evidence-based decision-making and collaboration. https://engineering.hinshelwood.com/tags/ai-product-operating-model/ Mon, 24 Nov 2025 13:21:23 +0000 https://engineering.hinshelwood.com/tags/ai-product-operating-model/ An AI Product Operating Model is an operating model that guides how organizations design, develop, deploy, and manage artificial intelligence (AI) products within their business context. As a specialization of the Adaptive Operating Model, it addresses the unique requirements and challenges of AI-powered product delivery, including data management, model lifecycle, ethical considerations, and continuous learning. It originates from the need to align AI initiatives with organizational goals, ensuring that AI solutions are integrated into existing processes, teams, and value streams rather than developed in isolation. This model outlines roles, responsibilities, workflows, governance structures, and feedback mechanisms specific to AI product development. An AI Product Operating Model provides clarity and repeatability, enabling cross-functional teams to collaborate effectively, manage risks, and deliver AI-driven value. It supports organizations in scaling AI capabilities, maintaining compliance, and adapting to rapid technological changes, thereby fostering innovation while ensuring responsible and sustainable AI adoption. Organizations may implement AI Product Operating Models using various delivery approaches, though iterative methods are generally recommended for managing AI uncertainty. https://engineering.hinshelwood.com/tags/agentic-software-delivery/ Tue, 21 Jan 2025 10:00:00 +0000 https://engineering.hinshelwood.com/tags/agentic-software-delivery/ Agentic Software Delivery is a strategy for continuously achieving business outcomes through the deliberate integration of autonomous AI agents, human expertise, and organisational context. It is not about automation for automation’s sake, but about enabling teams to move faster and smarter by embedding proactive, context-aware intelligence into their systems of work. The term ‘agentic’ implies more than assistance, it implies agency. These agents operate autonomously within defined boundaries, learning from data, adapting to patterns, and making context-informed decisions. They contribute meaningfully to outcomes across discovery, development, delivery, and operations. This approach relies on the synergy between domain experts and AI agents, requiring lean, empirical systems of work, strong product strategy, and modern engineering practices such as CI/CD, observability, infrastructure as code, and automated testing.