Chatbase Launches Voice AI Agents for Customer Support

Chatbase extends AI customer support from chat to voice, enabling businesses to deliver multilingual phone support through a unified AI agent platform.

Chatbase has announced the launch of Chatbase Voice, a voice AI agent designed to extend customer support operations from chat to phone interactions through a unified AI platform.

The solution enables organisations already using Chatbase for chat support to deploy the same AI agent for inbound phone calls without creating separate workflows, knowledge bases, or escalation systems.

According to Chatbase, many customer support teams currently manage separate systems for chat and voice support, resulting in duplicated workflows, fragmented escalation paths, and inconsistent customer experiences.

With Chatbase Voice, the same knowledge base, configured actions, and escalation logic used for chat interactions automatically carry over to voice support.

The platform supports real-time voice conversations in more than 95 languages and integrates with Twilio to route inbound calls directly into the existing Chatbase environment.

“The phone is where the highest-stakes conversations happen. Running voice on the same agent that already handles chat means customers get consistent answers no matter how they reach out, and support teams can run one playbook instead of two,” said Zeyad Genena, Senior Content Writer, Chatbase.

Unified AI Support Across Channels

Chatbase stated that setup for voice agents follows the same deployment flow as its chat agents, allowing organisations to connect knowledge bases, configure actions, define escalation rules, and launch voice support without additional infrastructure.

Because the voice agent inherits the same action library as the chat agent, callers can complete tasks such as checking order status in Shopify, retrieving invoices through Stripe, creating Zendesk tickets, or escalating to live agents through Salesforce Omni-Channel.

According to the company, the voice AI is optimised for spoken conversation and uses a multi-model AI architecture that routes tasks to the most suitable AI model in real time.

The company said the platform is designed to help businesses provide 24/7 multilingual phone support while reducing operational complexity and support costs.

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Reducing Operational Complexity

Chatbase said the launch reflects a broader shift toward unified AI customer support platforms that consolidate chat, voice, email, and messaging within a single operational system.

According to the company, enterprises have increasingly layered multiple AI tools onto existing customer service environments, often increasing integration overhead and operational fragmentation.

Chatbase positions its platform as a single AI support system where all customer communication channels share the same agent configuration, knowledge base, and escalation logic.

The company stated that this approach reduces operational overhead and helps maintain consistency across customer interactions regardless of channel.

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