About the Project
AI Incident Manager is an intelligent system that integrates with JIRA to provide automated incident resolution capabilities. It leverages artificial intelligence to transform the incident lifecycle from detection to resolution, learning from past incidents to predict and prevent future occurrences.
The platform offers automated incident categorization, intelligent routing, and AI-driven root cause analysis. It monitors system metrics in real-time to identify potential issues before they escalate, with predictive capabilities for resource allocation.
Organizations implementing this system achieve reduced resolution times, lower operational costs, and improved service quality. It automates routine tasks while providing insights into incident patterns and system vulnerabilities for continuous improvement.
Built With
Development Journey
AI Incident Manager was developed using Python for AI algorithms and JIRA API integration, following agile sprints with continuous testing. Key phases included:
Planning & Design (6 weeks): Analyzing incident workflows and JIRA functionalities, designing modular system architecture for integration points.
AI Algorithm Development (10 weeks): Creating intelligent analysis models for incident categorization and root cause analysis using TensorFlow and scikit-learn.
JIRA Integration (8 weeks): Implementing secure communication channels between the system and JIRA for ticket creation and workflow management.
Testing validated AI response accuracy with diverse incident scenarios and ensured reliable operation under various conditions.