Connect LiveChat and H2O.ai to Build Intelligent Automations
Choose a Trigger
When this happens...
New Chat
Finished Chat
Chat Changed
Choose an Action
Automatically do this!
- Request a new Action for H2O.ai
Enable Integrations or automations with these events of LiveChat and H2O.ai
Enable Integrations or automations with these events of LiveChat and H2O.ai
Triggers
New Chat
Triggers when the chat is started.
Finished Chat
Triggers when the chat is ended.
Chat Changed
Triggers when the tag list for a chat was changed.
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- text is aiReplytoCommentSend a Private ReplyAdd Step
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- Send for Approval acceptCreate Entry of expensesAdd Step
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Frequently Asked Questions
To start, connect both your LiveChat and H2O.ai accounts to viaSocket. Once connected, you can set up a workflow where an event in LiveChat triggers actions in H2O.ai (or vice versa).
Absolutely. You can customize how LiveChat data is recorded in H2O.ai. This includes choosing which data fields go into which fields of H2O.ai, setting up custom formats, and filtering out unwanted information.
The data sync between LiveChat and H2O.ai typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between LiveChat and H2O.ai. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
About LiveChat
LiveChat is the faster way to contact your customers. It is a web-based chat tool that lets you chat with your website visitors.
Learn MoreAbout H2O.ai
H2O.ai is a leading AI cloud platform that provides open-source machine learning and artificial intelligence solutions. It empowers businesses to harness the power of AI to drive innovation and make data-driven decisions. With a suite of tools and technologies, H2O.ai enables users to build, deploy, and scale AI models efficiently.
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