Autonomous Agile Virtual Assistant (AIVA) – A Comprehensive Literature Review

Agile and Scrum have become the leading operating models for modern software development, though successful implementation depends highly on human facilitation, specifically the Scrum Master whose responsibilities include coordinating ceremonies, managing dependencies, identifying blockers, and sustaining continuous improvement.The extant research provides strong evidence that AI now possesses the ability to automate discrete parts of this role through techniques such as Large Language Models (LLMs), Natural Language Processing (NLP), Retrieval-Augmented Generation (RAG), and Multi-Agent Systems (MAS).Nevertheless, the literature also indicates the contemporary approaches remain fragmented, focusing on isolated capabilities rather than integrated orchestration across the complete Agile lifecycle.This review combines emerging work across AI in Agile Management, Multi-Agent Orchestration, NLP-based analytics, Human-AI collaboration, and Ethical AI governance to analyze the practicality of autonomous Agile facilitation.The findings suggest an integrated framework such as the proposed AIVA (Autonomous Agile Virtual Assistant) that could support a more holistic, explainable and ethically aligned virtual Scrum Master that strengthens process reliability and reduces manual overhead across modern software delivery ecosystems.