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Build support agents connected to business knowledge and actions with Chat Data

Chat Data combines knowledge-based chat, connected actions, voice, and human handoff, helping teams build support agents that answer questions and carry out defined workflows across customer channels with oversight.

By toolmarketsaasai editorial · Published · Updated
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Chat Data · Tool overview illustration

What is Chat Data?

Chat Data is a platform for building AI agents around an organization's knowledge and workflows. Teams can customize an agent's interface and backend, connect business tools, and deploy conversational support through a website or messaging channel. The offering includes voice interaction and live chat escalation. Its role is to bring answers and selected actions into a customer conversation while preserving a route to a human support team.

Connect the answer to a controlled action

The platform supports workflows described in natural language and exposed as agent actions. MCP connections can bring in external business tools, including custom remote servers. Website options include a search interface or chat bubble, with an SDK for logged-in experiences. Other features include interactive responses, real-time voice, customized voices, and a PII anonymization layer.

Test the handoff as carefully as the answer

Start with a narrow set of support questions and actions that have clear outcomes. Test missing records, ambiguous requests, expired permissions, and situations that need a person. Make sure the receiving agent can understand what the customer already tried. For any workflow that changes account data or triggers an external process, define permission boundaries and check the result in the actual business system.

Features to explore

  • Knowledge-based custom agents
  • Workflow and MCP actions
  • Website widgets and SDK
  • Voice conversations
  • Live support escalation

Who is Chat Data for?

Best for support and operations teams that have maintained knowledge sources and defined escalation procedures. It is useful when a conversational interface needs to combine explanations with a limited set of business actions under clear permissions.

Before you get started

Review data access, retention, action permissions, and escalation behavior before deployment. Anonymization and compliance claims do not remove configuration responsibilities; verify the relevant contractual protections before using sensitive customer or health information.

Official sources

This introduction is independently written from public product information. It is not a hands-on review. Features and plans may change; confirm current details with the provider.

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