UNIAI – A Unified AI Wrapper & Orchestration Framework for Cross-Domain Intelligent Collaboration

Abstract Abstract Artificial Intelligence has evolved into a ubiquitous utility, yet the current operational landscape remains deeply fragmented, forcing users to navigate a disconnected array of isolated platforms for text generation, image synthesis, and data analytics. This segregation results in significant "context loss," disrupted creative workflows, and high cognitive overhead for end- users. This review synthesizes the architectural development of uniAi, a unified cross-domain wrapper designed to integrate diverse AI models into a single, cooperative, and human-centred ecosystem. By leveraging a modular plugin architecture and an intelligent orchestration engine, uniAi bridges the gap between specialized isolated models (such as LLMs and Diffusion models), demonstrating how interoperability and context preservation can streamline complex, multi-step workflows. The system’s visual orchestration dashboard, secure data governance, and open API framework highlight substantial opportunities for reducing operational redundancy and democratization of advanced AI. Integrating insights from software engineering, cognitive ergonomics, and responsible AI governance, this paper presents a unified framework for the future of collaborative artificial intelligence. Keywords Artificial Intelligence; Orchestration Engine; GenAI; Interoperability; Plugin Architecture; Human-Centred Design; Cross-domain Utility; Unified Wrapper; Machine Learning; API Integration.