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Software Development

Abia State Homeland Security's Call Center

Set up a state-of-the-art call center system to enable Homeland Security personnel to efficiently receive and route emergency calls from citizens across Abia State.

Project Details

The Abia State Homeland Security Call Center project established a central hub for emergency response communication. The system unified telephone hotlines, integrated digital call logging, and introduced real-time dashboards for monitoring call volumes and dispatch efficiency. By digitizing call handling, the project reduced missed calls, improved coordination between dispatchers and field units, and created a reliable audit trail of citizen reports.

Project Links

Technologies Used

ReactNode.jsPostgreSQLRedisAWS GovCloudTwilio APIWebRTC
The Call Center was the beating heart of Abia’s new emergency response system. It ensured no cry for help went unheard.
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The Challenge

Building a call center for a state-wide security agency meant designing for scale and resilience. The challenge lay in managing high call volumes during crisis events, ensuring 24/7 uptime, and integrating seamlessly with both legacy radio systems and modern digital platforms.

Our Solution

We built a robust call-handling system powered by Twilio and WebRTC for reliable voice connections. Automated call distribution ensured dispatchers could handle spikes in volume, while every call was logged, timestamped, and tagged for quick retrieval. We also introduced multilingual support and failover routing to guarantee that calls were never dropped, even during outages.

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Designing Our Solution

Our design process follows industry best practices to ensure optimal user experience and functionality.

User Flow Mapping

Citizens dial a dedicated emergency hotline. Calls are automatically routed to the next available dispatcher, logged into the system, and tagged with caller ID and location. Dispatchers then assign cases to field units while supervisors monitor response times on live dashboards.

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Wireframing

We designed wireframes focused on call handling efficiency: minimal-click workflows for dispatchers, clear priority indicators, and real-time status updates. Early prototypes were tested with Homeland Security officers before moving into development.

Story Mapping

Through story mapping, we prioritized must-have features like automatic call logging, call queue management, and supervisor dashboards. Advanced analytics and transcription services were added as future iterations.

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Developing Our Solution

Our development process emphasizes quality, scalability, and maintainability at every stage.

System Architecture

The solution used a hybrid cloud architecture. Voice handling was powered by Twilio and WebRTC, while PostgreSQL and Redis ensured fast and reliable call data storage. AWS GovCloud provided secure hosting, redundancy, and compliance with government security requirements.

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Development Process

The call center system was built as a modular platform, allowing easy scaling across multiple lines and teams. We designed dispatcher dashboards with real-time updates, integrated analytics for peak-hour forecasting, and optimized backend APIs for quick routing.

Testing & Quality Assurance

We ran stress tests simulating hundreds of concurrent calls to validate scalability. Security penetration testing ensured call data remained confidential. Field drills were conducted with actual dispatchers to refine workflows.

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Deployment & Launch

The call center system was first deployed in Umuahia with 20 dispatcher stations before rolling out state-wide. We conducted on-site training, created user manuals, and set up monitoring tools to track performance and uptime.

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