Enterprise Operations Intelligence & Risk Analytics Platform built during my internship at Surtel Technologies.
🌐 Live Demo: https://intelliopsai-1.onrender.com
During my internship at Surtel Technologies, I worked within the E-Commerce Department and studied internal operational workflows and tracking systems used to manage daily business operations.
While operational data was being collected successfully, I observed a major gap in executive visibility and operational intelligence. Managers had access to raw operational data but lacked a centralized platform capable of answering critical business questions quickly:
- Which departments are currently at risk?
- Which operational tasks are breaching SLAs?
- Which incidents require immediate attention?
- Which teams are overloaded?
- What actions should leadership take next?
To address these challenges, I designed and developed IntelliOps AI, an Operations Intelligence & Risk Analytics Platform that combines operational monitoring, predictive analytics, incident management, executive reporting, and AI-assisted decision support within a unified enterprise dashboard.
The application is publicly accessible through Render Cloud Platform:
https://intelliopsai-1.onrender.com
✅ Executive Operations Dashboard
✅ Predictive Risk Forecasting
✅ SLA Breach Analytics
✅ Incident Management System
✅ Workforce Burnout Detection
✅ AI Executive Briefing Hub
✅ Operational Risk Analytics
✅ Audit Ledger & Compliance Tracking
✅ Enterprise-Style Operational Intelligence Platform
✅ Cloud Deployment
- AI-generated executive summaries
- Operational health analysis
- Business impact assessment
- Leadership-focused recommendations
- Executive action planning
- Department risk forecasting
- SLA breach prediction
- Workload imbalance detection
- Delivery delay forecasting
- Operational threat analysis
- Centralized incident management
- Alert monitoring
- Incident ownership assignment
- Resolution tracking
- Incident prioritization
- AI-assisted mitigation recommendations
- Recovery planning
- Resource reallocation suggestions
- Operational optimization strategies
- SAP ERP connector simulation
- Warehouse synchronization monitoring
- Connector health visibility
- Enterprise integration dashboard
- Activity tracking
- Forecast logging
- AI event monitoring
- Compliance visibility
- Bulk operational data ingestion
- Data validation
- Operational analytics generation
- Reporting support
- Operational task entry
- Incident logging
- Manual work order creation
- Administrative controls
- ASP.NET Core MVC (.NET 8)
- C#
- Entity Framework Core
- SQLite
- Razor Views
- Bootstrap
- Chart.js
- ASP.NET Identity
- Gemini AI Integration
- Docker
- Render Cloud Platform
Provides real-time visibility into operational health, incidents, SLA performance, workforce utilization, and enterprise KPIs.
Tracks operational performance across departments and provides executive-level visibility into enterprise operations.
Centralized incident management system for monitoring, prioritizing, and resolving operational issues.
Forecasts operational risks, SLA breaches, workload imbalances, and delivery delays.
Advanced operational intelligence layer supporting proactive decision-making and organizational risk assessment.
AI-generated executive summaries, business impact analysis, and recommended actions for leadership teams.
- Studied ASP.NET Core MVC and C#
- Explored enterprise software architecture
- Analyzed internal operational workflows
- Learned how operational data moves across departments
- Developed an Office Supply Tracker application
- Implemented CRUD operations
- Worked with Entity Framework Core
- Built database-driven business applications
While studying operational workflows, I identified a major challenge:
Operational data existed, but there was no intelligence layer capable of transforming that data into actionable business insights.
This observation led to the idea of building a centralized operational intelligence platform.
- Designed Executive Dashboard
- Developed Predictive Risk Forecast Engine
- Built Incident Management System
- Implemented Audit Ledger
- Added AI Executive Briefing capabilities
- Created SAP-style connector simulations
- Deployed application to the cloud
IntelliOps AI helps organizations:
- Detect operational risks proactively
- Forecast SLA failures before escalation
- Monitor workforce utilization
- Track critical incidents centrally
- Improve executive visibility
- Generate AI-assisted business insights
- Support data-driven decision making
Operational Data Sources
↓
CSV Analytics Pipeline + Manual Entry
↓
Operational Database
↓
Analytics Engine
↓
Risk Forecast Engine
↓
Incident Management Layer
↓
Executive AI Briefing Hub
↓
Leadership Decision Support
- Real SAP ERP Integration
- Persistent Cloud Database
- Multi-Tenant Enterprise Support
- Real-Time Alert Notifications
- Advanced Predictive Analytics Models
- Department-Specific Executive Dashboards
- Enterprise Authentication Providers
Parina Jain
B.Tech Computer Science Engineering
KIIT University
GitHub: https://github.com/Parinajain15
LinkedIn: https://www.linkedin.com/in/parinajain15/
Enterprise operational intelligence dashboard updated for Practical Training II evaluation, deployment, and final project submission.
- SLA breach analytics enhanced using active breached-task tracking
- Audit ledger event descriptions refined
- Deployment architecture updated using Docker and Render
- Production deployment configured with SQLite integration
- Executive reporting and risk analytics improvements
✅ Report Submitted
✅ Presentation Submitted
✅ Live Deployment Completed
✅ GitHub Repository Published
✅ Practical Training II Project Completed
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