Automate call center with AI-driven voice automation and smart routing to agents.


Round Infinity's call center automation platform transforms customer interactions with AI-powered voice bots, intelligent call routing, and omni-channel agent management. Features like AI-driven transcription, real-time sentiment analysis, and IVR call deflection reduce costs while enhancing customer satisfaction and self-service adoption. The platform leverages contextual data—analyzing past interactions and real-time inputs - to deliver accurate, personalized responses.

With AI-powered insights and automation, businesses can anticipate needs, resolve issues proactively, and reduce reliance on human agents. This drives efficiency, lowers costs, and enhances service quality, resulting in a seamless, personalized customer experience that boosts loyalty, agility, and ROI.



How it Works

Setup
Easily integrate AI-powered voice bots with your call center system and configure IVR, SIP, and cloud telephony to enable automated call handling and seamless agent routing.
Inbound Call Handling
Customers connect via phone, and AI-driven voice bots answer calls, analyze intent, and provide instant assistance using contextual Customer 360 data.
AI-Powered Response
Advanced NLP and speech recognition enable bots to understand queries, detect sentiment, and respond accurately while guiding users through self-service options.
Agent Handoff
For complex issues, calls are intelligently routed to agents based on skill, priority, and availability, ensuring faster resolutions through an AI-assisted omnichannel inbox.
Smart Workflows
Custom workflows can route the case across multiple departments, escalate critical cases, trigger callbacks, and integrate with business applications to streamline issue resolution.
Voice Analytics
Real-time call recording, transcription, and AI-generated summaries offer deep customer insights. Sentiment analysis, post-call surveys, and AI-driven feedback measure satisfaction and agent performance. Flagged negative calls trigger instant supervisor alerts for timely intervention.
Continuous Improvement
Machine learning adapts responses based on call trends, feedback, and performance insights, continuously enhancing service quality and efficiency.