International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | Intelligent Workflow Automation System for Organizational Task Management |
|---|---|
| ABSTRACT | Task management in team-based organizational settings becomes increasingly complex as team sizes grow and project interdependencies multiply. Existing platforms such as Jira and Trello function primarily as tracking tools: they record the state of work but offer no intelligent decision support. We present the Intelligent Workflow Automation System for Organizational Task Management, a web-based platform built around three coordinated mechanisms. First, a Role-Based Access Control (RBAC) framework enforces strict boundaries across three user roles — Directors, Managers, and Employees — ensuring each user interacts only with data appropriate to their position. Second, a General AI Assistant answers natural language queries on organizational knowledge, leveraging the Spring AI framework with live database connectivity. Third, an Agentic AI Assistant provides real-time insight into employee workload, active task distribution, and automated deadline monitoring by calling live backend tool functions rather than relying on pre-trained knowledge. The system further incorporates a complete task lifecycle state machine, automated deadline alert notifications, in-platform collaboration through comment threads and file attachments, and team-level reporting. A pilot evaluation demonstrated measurable improvements in workload visibility, reduced manual query overhead, and high user satisfaction across all three roles. The results indicate that combining agentic AI with RBAC and structured workflow management produces a practical and extensible solution for organizational task automation. |
| AUTHOR | K. THRILOCHANA DEVI, K. BHARGAV SAI, K. PRANEETH ROHAN, M. KOWSHIK Assistant Professor, Dept. of Information Technology, Vasireddy Venkatadri Institute of Technology, Nambur, Guntur, Andhra Pradesh, India B. Tech Students, Dept. of Information Technology, Vasireddy Venkatadri Institute of Technology, Nambur, Guntur, Andhra Pradesh, India |
| VOLUME | 183 |
| DOI | DOI: 10.15680/IJIRCCE.2026.1404011 |
| pdf/11_Intelligent Workflow Automation System for Organizational Task Management.pdf | |
| KEYWORDS | |
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