Agora has introduced its new Conversational AI Agent solutions designed for customer service and sales and marketing teams. The company built these solutions on a unified platform that removes many of the technical barriers preventing conversational AI from scaling effectively across enterprise environments.
The announcement comes at a time when conversational AI adoption is accelerating across industries. According to industry forecasts, AI-powered agents are expected to automate a significant share of customer interactions in the coming years. However, despite this growing demand, many businesses still rely on legacy communication systems that struggle to support modern AI-driven conversations. As a result, organizations frequently encounter long wait times, inefficient call routing, and outdated outreach methods that negatively impact both operational performance and customer satisfaction.
Building the Infrastructure for Scalable Voice AI
To address these challenges, Agora developed a comprehensive platform that combines multiple technologies into a single high-performance system. The platform integrates three major components designed to enable real-time conversational AI deployment.
First, Agent Studio provides a visual, no-code interface that allows enterprises to quickly design, test, and deploy advanced voice AI agents without requiring extensive development resources.
Second, the Conversational AI Engine acts as the intelligence layer of the platform. It orchestrates technologies such as automatic speech recognition (ASR), large language models (LLMs), and text-to-speech (TTS) capabilities to support smooth, real-time conversations.
Finally, the system runs on SDRTN, Agora’s globally distributed real-time network infrastructure. This architecture enables ultra-low latency communication, ensuring natural conversation flow and consistent performance even in challenging network environments.
Together, these technologies create a reliable foundation for enterprises to deploy voice AI agents at scale while maintaining high-quality customer interactions.
Tony Zhao, Founder and CEO of Agora
“Voice is the most natural way we communicate, but delivering real-time conversational AI at scale requires infrastructure built specifically for it,” said Tony Zhao, Founder and CEO of Agora. “By solving the latency and orchestration challenges that have historically limited voice AI, we’re enabling companies to finally deploy conversational agents at scale without compromising on the quality of the customer experience.”
Enhancing Customer Service with AI Agents
One of the primary use cases for Agora’s platform focuses on customer support operations. As contact centers manage increasing interaction volumes, organizations must maintain service quality while controlling operational costs.
Agora’s AI customer service agents automate routine inquiries such as billing questions, appointment reminders, delivery updates, and technical troubleshooting. By handling these repetitive tasks, the AI agents provide instant responses around the clock while allowing human representatives to focus on more complex customer issues.
In addition, the system enables natural conversations using advanced interruption-aware voice technologies. These capabilities allow users to interact with AI agents in a fluid, human-like manner rather than relying on rigid scripted responses.
Transforming Sales and Marketing Outreach
Beyond customer service, the platform also supports AI-driven sales and marketing operations. Traditional outbound engagement often relies on automated dialers and static scripts that can feel impersonal to customers.
Agora’s AI sales and marketing agents introduce a more conversational approach to outreach. The technology can handle tasks such as outbound lead qualification, payment reminders, debt collection conversations, survey participation invitations, and real-time polling interactions.
These agents also analyze context during conversations, enabling them to adjust responses dynamically, address customer objections, and identify high-intent prospects. Consequently, sales teams can focus their efforts on closing deals rather than spending time on manual dialing and preliminary screening.
Alejandro Pinto Villalba, Executive Director at FasesBI
“The challenge with traditional market research is the friction of the initial outreach. By using Agora’s Voice AI agents to invite participants to our survey platform, we’ve seen a 10% conversion rate - a figure that was previously unattainable with manual dialing,” said Alejandro Pinto Villalba, Executive Director at FasesBI. “The agents handle the initial pitch and incentive explanation flawlessly, allowing us to scale our data collection and reward distribution without increasing our operational headcount.”
Overall, Agora’s new platform reflects the growing role of voice AI in enterprise communication. By combining advanced conversational technologies with real-time infrastructure, the company aims to help businesses modernize customer interactions, streamline outreach strategies, and unlock new levels of operational efficiency.
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