Governing the Adaptive Organism - A Framework for Human-AI Symbiosis in Anticipatory Project Management

Abstract

Abstract

Artificial intelligence (AI) is reshaping project management, yet governance frameworks lag behind the shift from tool-based automation to human-AI symbiosis. This article synthesises literature across four domains; AI in project management, human-AI collaboration, anticipatory governance, and complexity theory, to propose the Adaptive Organism Governance (AOG) Framework. The framework reconceptualises the project organisation as a complex adaptive system with four dimensions: Cognitive Augmentation, Collaborative Intelligence, Anticipatory Sensing, and Complexity Absorption. These are operationalised through six governance principles: subsidiarity, transparency, adaptability, resilience, human-centricity, and continuous learning. By shifting focus from controlling machines to cultivating symbiotic ecosystems, the AOG Framework offers a pathway for anticipatory, adaptive, and resilient project delivery. This conceptual paper advances theory by unifying fragmented domains into a governance model that addresses the “absorption gap” between technological capability and organisational readiness, positioning human-AI symbiosis as a cornerstone of future project management.

Keywords: Project Management; Artificial Intelligence; Human-AI Symbiosis; Anticipatory Governance; Complexity Theory

Highlights

• Introduces the AOG Framework as a governance model for human-AI symbiosis.

• Synthesises four domains into a unified conceptual framework.

• Addresses the absorption gap between technology and organisational readiness.