Agora, a global leader in real-time engagement, has partnered with conversational AI firm WIZ.AI to deliver advanced AI agents tailored for enterprises. This collaboration combines WIZ.AI’s domain-specific voice AI capabilities with Agora’s low-latency infrastructure, enabling scalable, multilingual AI-powered interactions. The solution is geared toward industries like banking, insurance, and telecom that require human-like automation across customer touchpoints.
With six years of experience deploying voice AI across Southeast Asia, WIZ.AI brings expertise in delivering intelligent, scenario-driven automation. Agora complements this by offering a robust communication SDK and Conversational AI Engine, resulting in an end-to-end system that handles everything from inbound calls to analytics.
Automating service, training, and insights
The AI agents will be equipped to handle customer service via voice and video channels, run outbound campaigns for retention and renewals, and offer QA monitoring with real-time feedback. Additionally, the platform includes virtual trainers that enable organisations to conduct microlearning and onboarding programs through AI-based instruction.
Agora’s infrastructure is optimised for conversational responsiveness, supporting natural interactions even in poor network conditions or noisy environments. Their system includes intelligent interruption handling, making the agent experience feel more human-like and dependable.
Redefining enterprise communications with AI
Executives from both companies see this partnership as a step forward in redefining customer experience through automation. Agora’s CEO Tony Zhao emphasized the role of emotionally intelligent, real-time communication, while WIZ.AI President Jennifer Zhang highlighted the importance of local language support and context-aware engagement.
By integrating Agora’s real-time communication capabilities with WIZ.AI’s voice agents, the two companies aim to accelerate enterprise adoption of conversational AI globally. The partnership will support businesses in sectors such as logistics, public services, and finance by embedding AI agents into core digital workflows.
