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Chatbase Launches Voice AI for Phone Support

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One AI agent now handles both phone and chat support, sharing knowledge, actions and escalation logic across channels.

The Gist

  • Voice channel integration. Chatbase adds AI voice support to its existing chat agent platform.
  • Unified workflows. Businesses manage chat and phone support through a single system.
  • Cost and efficiency. Support leaders gain 24/7 phone coverage and lower costs without extra headcount.

Chatbase on May 11 launched Chatbase Voice, a voice AI agent that extends the company's customer support platform from chat to phone. The capability runs on the same knowledge base, custom actions and human-escalation logic that already power a company's Chatbase chat agent, according to company officials.

The voice agent integrates with Twilio for inbound call routing and inherits the chat agent's full action library. A phone caller can pull invoices through Stripe, check order status in Shopify, create a Zendesk ticket or get handed to a live agent via Salesforce Omni-Channel — all within a single call, the company said.

Chatbase claims the feature delivers 24/7 phone coverage in more than 95 languages without additional headcount. The company noted that the average human-handled contact center phone call costs $12–$13, while Chatbase Voice costs a fraction of that, though it did not disclose an exact figure. 

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.

- Zeyad Genena

Chatbase

Table of Contents

Chatbase Voice Feature Breakdown

CapabilityDescription
Voice AI agentHandles inbound calls using the same agent as chat
Unified knowledge baseVoice and chat share one knowledge base and escalation logic
95+ language supportReal-time voice conversations in more than 95 languages
Third-party integrationsConnects to Stripe, Shopify, Zendesk and Salesforce Omni-Channel
Multi-model architectureRoutes each task to the best-fit AI model

Recent Chatbase Developments

Chatbase has executed a deliberate pivot over the past eight months, evolving from a chat-focused tool into a full omnichannel AI customer support platform. The bootstrapped vendor began laying groundwork in October 2025 by expanding its free tier to include API access, native integrations and advanced model access — lowering the barrier for developer evaluation.

By March 2026, the company published an ecommerce case study claiming a 3x revenue lift, 68% reduction in support tickets and doubled conversion rates within six months. On May 5, Chatbase added a centralized Help Desk workspace designed to manage conversations requiring human intervention — tightening the AI-to-human handoff that remains a persistent friction point in enterprise support deployments.

Together, the moves signal Chatbase's intent to compete head-on with incumbent customer support suites across voice, chat and messaging channels from a single platform.

Voice AI & Omnichannel Support: What the Evidence Shows

AI agents are unifying voice, chat, email and social channels under a single operational layer — but results hinge on integration quality and data discipline.

Unified Channel Integration

AI-driven platforms now synchronize interaction history across phone, email, chat and social media, giving agents a consolidated view and sparing customers from repeating themselves. Context carries across channels, though outcomes depend on data quality and how contact center teams configure the system.

Voice AI & IVR-to-Agent Handoff

Salesforce's Agentforce Contact Center integrates voice, digital channels, CRM and AI natively. When an AI agent escalates to a human, the receiving agent gets a full transcript and interaction context instantly — eliminating the cold-transfer problem common in legacy interactive voice response (IVR) setups.

Early Agentforce voice deployments reported containment rates of 40%–60% for repeatable requests such as account inquiries, travel changes and booking updates.

Measurable ROI & Coverage

The business case for AI-powered omnichannel support draws on several reported metrics:

Governance & Human-in-the-Loop Controls

GetVocal's approach constrains large language models (LLMs) through business logic rules while maintaining human oversight — a pattern gaining traction in compliance-sensitive environments. The model steers AI toward routine resolution while humans focus on governance, escalation judgment and policy enforcement.

Learning Opportunities

The broader arc, as CMSWire has reported on AI agent evolution, is a shift from human-assisted AI toward AI in contact centers — automation handles volume, humans manage exceptions.

Chatbase Background

Founded in 2023, Chatbase targets mid-market and enterprise organizations deploying AI-powered support agents. The platform serves e-commerce merchants, SaaS providers, service firms and agencies, with a user base of more than 10,000 businesses. Chatbase is SOC 2 Type II certified and GDPR compliant.

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About the Author
Dom Nicastro

Dom Nicastro is editor-in-chief of CMSWire and an award-winning journalist with a passion for technology, customer experience and marketing. With more than 20 years of experience, he has written for various publications, like the Gloucester Daily Times and Boston Magazine. He has a proven track record of delivering high-quality, informative, and engaging content to his readers. Dom works tirelessly to stay up-to-date with the latest trends in the industry to provide readers with accurate, trustworthy information to help them make informed decisions. Connect with Dom Nicastro:

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