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UiPath Maestro BPMN workflow orchestrating AI agents, human tasks, and automation.
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High-level solution architecture showing backend integration, UiPath Maestro orchestration, AI agents, and enterprise services.
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CivicPulse AI dashboard where emergency incidents are initiated and submitted for processing.
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Structured JSON generated by the backend and sent to UiPath Maestro through REST APIs.
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Human-in-the-loop incident verification before AI-driven processing begins.
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AI Agent analyzing incident severity and determining the overall risk level.
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AI Agent calculating the appropriate Service Level Agreement (SLA).
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AI Agent assigning operational priority based on incident characteristics.
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UiPath Maestro dispatching tasks to Fire, Police, and Ambulance departments.
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Department personnel confirming team allocation, assigned officers, and vehicle details.
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Human operator recording final response details and incident resolution.
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Incident information securely stored and updated in UiPath Data Fabric.
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AI Incident Closure Agent generating a comprehensive executive incident report.
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Control Room Assessment workflow handling false or non-verifiable incidents.
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Emergency Escalation workflow for supervisor review and final decision.
Inspiration
Emergency response systems often rely on manual coordination, resulting in delayed dispatch, inconsistent decision-making, and heavy operational workload. We wanted to build an intelligent platform that combines AI, automation, and human decision-making to streamline the complete incident management lifecycle while keeping humans in control of critical decisions.
What it does
CivicPulse AI is an AI-powered emergency incident management platform built on UiPath Automation Cloud.
A conversational AI backend collects incident information from users and sends structured JSON data to UiPath Maestro through REST APIs.
UiPath Maestro orchestrates the complete workflow by combining AI Agents, Human-in-the-Loop tasks, and RPA automation.
The platform performs:
- Incident verification
- AI-based risk assessment
- SLA calculation
- Priority classification
- Department dispatch
- Automated email notifications
- Dispatch confirmation
- Resolution tracking
- Data Fabric updates
- AI-generated incident closure reports
- Automatic PDF generation
- Final report email delivery
The solution also supports an alternate workflow for false incidents through Control Room Assessment and Emergency Escalation before automatically generating the closure report.
How we built it
Our solution combines multiple UiPath products with a custom JavaScript backend.
Frontend & Backend
- HTML
- CSS
- JavaScript
- Node.js
AI Integration
- Gemini AI
- REST APIs
- JSON
UiPath Platform
- UiPath Maestro
- UiPath Agents
- BPMN Process
- UiPath Action Center
- UiPath Data Fabric
- UiPath Studio
- UiPath Studio Web
- UiPath Integration Service
- UiPath Storage Buckets
- UiPath Orchestrator
The backend communicates with UiPath Maestro through HTTP requests. Maestro orchestrates AI agents, human approvals, and RPA workflows to complete the entire emergency response process.
Challenges we ran into
- Designing a scalable BPMN workflow with multiple execution paths.
- Passing data between the backend, Maestro, AI Agents, and Data Fabric.
- Coordinating AI decisions with Human-in-the-Loop tasks.
- Building automated PDF generation and email delivery after incident closure.
- Supporting both verified incidents and false alarm scenarios in a single orchestration.
Accomplishments that we're proud of
- Built an end-to-end AI-powered emergency response platform.
- Successfully orchestrated AI Agents and Human-in-the-Loop workflows using UiPath Maestro.
- Automated dispatch, incident resolution, reporting, PDF generation, and email notifications.
- Implemented multiple workflow paths for verified incidents and false alarms.
- Delivered a fully cloud-based solution running on UiPath Automation Cloud.
What we learned
This project gave us hands-on experience with UiPath Maestro orchestration, AI Agents, BPMN workflow design, Human-in-the-Loop automation, Data Fabric, REST API integration, and enterprise RPA development.
We also learned how to combine AI reasoning with human approvals to build reliable and scalable business workflows.
What's next for CivicPulse AI
- Predictive incident prioritization using historical data
- GIS and Google Maps integration
- WhatsApp and SMS notifications
- IoT sensor integration
- Power BI operational dashboards
- AI-powered resource optimization
- Real-time analytics
- Multi-language support
- Mobile application for emergency responders
Built With
- css
- html
- http
- javascript
- json
- node.js
- openai
- rest-api
- uipath-action-center
- uipath-agents
- uipath-bpmn
- uipath-data-fabric
- uipath-integration-service
- uipath-maestro
- uipath-orchestrator
- uipath-storage-buckets
- uipath-studio
- uipath-studio-web
