Deploy customer agents across chat email and voice with human handoff
Chatbase is a platform for building AI agents that interact with customers across support, sales and product-guidance workflows. A team connects its knowledge sources, defines the agent's role and adds instructions about what it may answer or do. The product now includes chat, email and voice capabilities, with availability determined by the subscription and deployment configuration.
The agent can use business content to answer questions and follow procedures written in ordinary language. Configured actions connect a conversation to tasks such as looking up an order or retrieving information from another system. Those actions should be designed around the customer's identity and the permissions needed for the request. A convincing answer is not enough when the next step changes a subscription, booking or account record.
Chatbase's helpdesk supports a handoff into human support without discarding the conversation. The official feature page distinguishes a ticket for later follow-up from bringing a person into a live interaction. This gives teams a way to define which situations the agent should handle and which need human judgment. Conversation review, topic and sentiment analysis, and testing tools help identify weak answers or missing source material after launch.
The free plan provides a small monthly credit allowance and removes inactive agents after the stated inactivity period. Paid plans increase credits and add capabilities, with API access, voice and helpdesk functions advertised from Standard. Enterprise controls and additional agent or branding options should not be assumed to be included in every subscription. A sensible pilot starts with a narrow knowledge area and realistic customer questions, then tests both successful answers and escalation. Monitor credit consumption as well as resolution quality because the selected models and workflow can affect usage. Keeping sources current, checking permissions and reviewing exceptions are ongoing responsibilities even when the agent handles routine conversations automatically. The platform is best assessed against the actual customer journey rather than a single polished demonstration.
