Jas Communications provides telephony and communication tools to businesses looking to streamline client interactions. With their existing Jas Connect platform, they had a solid foundation—but saw a growing demand for insights that could turn everyday calls into opportunities for improvement and growth.
The Challenge
Jas wanted to enhance their offering by enabling clients to extract real-time intelligence from voice calls—including sentiment analysis, tone recognition, and topic tracking. The goal was to help businesses improve customer satisfaction, fine-tune sales training, and make smarter decisions based on real conversations.However, building such a system meant integrating multiple AI services, handling variable data formats, and doing it all in a way that scaled effortlessly without adding infrastructure overhead.
Our Solution
Devpro architected and implemented a powerful AI analytics layer within the Jas Connect ecosystem. Key elements included:
A serverless backend using Azure Functions for scalable, cost-efficient compute
Built in TypeScript for reliability and consistency
Integration of three AI services to deliver:
Real-time sentiment scores
Summaries of key call moments
Transcripts for review and compliance
Tone assessments for emotional analysis
This architecture enabled seamless processing of call data at scale—no servers, no manual overhead.
The Results
📊 500+ minutes of calls already processed through the system
🏢 6 companies actively using the tool to enhance sales and service workflows
💻 126 Chrome extension users benefiting from live in-browser analysis
⚙️ Scalable infrastructure requiring zero manual maintenance
Impact
The AI-powered analytics engine has elevated Jas Connect from a communication tool to a conversational intelligence platform. By delivering real-time, actionable insights from phone calls, Jas Communications is helping its clients make smarter, faster decisions—and setting a new standard in customer interaction.
