High-Volume Interactions Drive Contact Center Costs
Routine subscriber requests consume significant agent capacity, increasing operating costs and limiting the time available for more complex interactions.
We transform contact center operations with agentic AI that resolves subscriber requests, supports human agents, and identifies revenue opportunities across voice, chat, and WhatsApp.
Product Overview
Agentrix Voice is our AI-powered contact center solution built on the Agentrix agentic AI platform. It autonomously manages subscriber interactions across voice, chat, and WhatsApp, 24×7 and across multiple languages.
Unlike traditional conversational automation that stops at answering questions, Agentrix Voice completes governed actions across connected systems—from caller verification and transaction retrieval to payment retries, dispute logging, and callback booking.
For interactions requiring human support, real-time intent detection, AI-generated summaries, next-best-action recommendations, and automated wrap-up give agents the context and assistance needed to work more efficiently.
The Outcomes Are Clear
Capabilities
Manage subscriber interactions across voice, chat, and WhatsApp through a consistent AI-driven service experience.
Understand subscriber intent and complete eligible service requests 24×7 through governed AI-driven execution.
Support subscriber interactions across multiple languages to extend automated service across diverse customer populations.
Complete operational tasks such as caller verification, transaction retrieval, payment retries, dispute logging, and callback booking within governed workflows.
Provide human agents with live intent detection and contextual intelligence during active customer interactions.
Automatically summarize interactions and complete routine post-interaction documentation to reduce administrative effort.
Surface contextual recommendations that help human agents determine the most relevant next action during customer interactions.
Identify relevant commercial opportunities at the point of resolution and surface contextual offers that turn service interactions into potential revenue moments.
Control autonomous actions through role-based access control, policy checkpoints, approval workflows, and immutable audit trails.
Process
We identify subscriber intent and maintain conversational context across supported voice and digital channels.
Agentrix Voice verifies the caller where required and retrieves relevant transaction, account, and service information from connected systems.
AI agents complete approved requests autonomously, while human agents receive real-time intent, summaries, and next-best-action guidance for interactions requiring intervention.
Transactions and operational actions are completed within defined RBAC, policy, and approval controls, with human authorization applied where required.
The interaction is summarized, required wrap-up actions are completed, and an immutable audit trail records the actions taken.
Results
Shift high-volume, repeatable subscriber requests from assisted handling to governed autonomous execution.
Reduce time spent on information retrieval, interaction summarization, next-step determination, and post-interaction wrap-up.
Extend consistent subscriber support across channels, languages, and operating hours without relying solely on human-agent availability.
Give human agents real-time context and recommendations while automating repetitive tasks around each interaction.
Surface contextual offers at the point of resolution to turn relevant service interactions into revenue opportunities.
Maintain controlled AI operations through RBAC, policy checkpoints, approvals, and immutable audit trails.
Combine autonomous resolution, higher agent productivity, and revenue assist to deliver measurable operational and commercial returns in 8–12 weeks.