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Academic Research Poster

Byteops – Corporate Ai Assistant Platform

Project IDPT-S26-702A0D
Lead ResearcherAbdul Rafay
Student IDF22CSC001
DepartmentComputer Science
SemesterSemester 8

Abstract

ByteOps is an AI-powered corporate workflow automation platform designed to address productivity challenges caused by fragmented workplace tools and manual coordination. Modern organizations rely on multiple applications such as email, messaging, and ticketing systems, leading to frequent context switching and inefficient workflows. This project proposes a centralized platform that integrates enterprise tools through secure APIs and leverages Large Language Models to interpret unstructured inputs and automate routine tasks. The system is built on a scalable, service-oriented architecture with an AI orchestration layer that coordinates specialized agents for task execution. These agents enable functionalities such as intelligent information extraction, automated task creation, and cross-platform notifications, allowing users to perform complex workflows from a single interface. The platform ensures secure data handling through OAuth-based authentication and controlled execution mechanisms. The proposed solution demonstrates how AI-driven orchestration can reduce manual effort, improve operational efficiency, and enhance decision-making in corporate environments. ByteOps contributes a practical framework for integrating AI into enterprise workflows, aligning with current industry trends in intelligent automation and digital transformation.

Research Team

Dua RizwanF22CSC036
Kashaf AtiqF22CSC034

Internal Supervision

Principal SupervisorSaadia Karim
Academic DivisionFaculty of Information Technology

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Byteops – Corporate Ai Assistant Platform