Manage One AI: A Unified AI-Driven Productivity and Collaboration Platform for Intelligent Task and Workflow Management

  • Unique Paper ID: 194300
  • PageNo: 3469-3475
  • Abstract:
  • The rapid expansion of digital productivity tools has improved workplace efficiency but has also resulted in fragmented workflows. Users often need to switch between multiple applications for communication, task management, file storage, and scheduling, which disrupts focus and productivity. This paper presents Manage One AI, a unified web-based platform designed to integrate these functions within a single intelligent workspace. The proposed system combines a custom rule-based automation engine with selectively applied pre-trained transformer models for natural language processing. This hybrid approach enables AI-assisted task creation, intelligent scheduling, and automated workflow triggers while maintaining transparency in decision-making rather than relying entirely on complex black-box models. The system architecture utilizes a microservices-based backend to support modularity and scalability, along with a responsive React-based frontend that ensures accessibility across devices. An initial evaluation involving knowledge workers indicates improvements in task organization and a noticeable decrease in application switching. The results suggest that integrating productivity tools into a unified platform with transparent AI support can enhance user efficiency by reducing cognitive load and simplifying routine digital activities.

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{194300,
        author = {Arun Kumar and Adarsh Yadav and Abhinav Mishra and Prasanna Kumar Pandey},
        title = {Manage One AI: A Unified AI-Driven Productivity and Collaboration Platform for Intelligent Task and Workflow Management},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {10},
        pages = {3469-3475},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=194300},
        abstract = {The rapid expansion of digital productivity tools has improved workplace efficiency but has also resulted in fragmented workflows. Users often need to switch between multiple applications for communication, task management, file storage, and scheduling, which disrupts focus and productivity. This paper presents Manage One AI, a unified web-based platform designed to integrate these functions within a single intelligent workspace.
The proposed system combines a custom rule-based automation engine with selectively applied pre-trained transformer models for natural language processing. This hybrid approach enables AI-assisted task creation, intelligent scheduling, and automated workflow triggers while maintaining transparency in decision-making rather than relying entirely on complex black-box models.
The system architecture utilizes a microservices-based backend to support modularity and scalability, along with a responsive React-based frontend that ensures accessibility across devices. An initial evaluation involving knowledge workers indicates improvements in task organization and a noticeable decrease in application switching. The results suggest that integrating productivity tools into a unified platform with transparent AI support can enhance user efficiency by reducing cognitive load and simplifying routine digital activities.},
        keywords = {Productivity Systems; Workflow Automation; Task Management; Human-AI Collaboration; Web Application; Microservices},
        month = {March},
        }

Cite This Article

Kumar, A., & Yadav, A., & Mishra, A., & Pandey, P. K. (2026). Manage One AI: A Unified AI-Driven Productivity and Collaboration Platform for Intelligent Task and Workflow Management. International Journal of Innovative Research in Technology (IJIRT), 12(10), 3469–3475.

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