Integrate LiveChat with Flora AI to automate workflows, sync data between apps, and eliminate repetitive tasks with AI-powered automation.
Start from a real workflow other teams are already running.
LiveChat
When this happens...
New Chat
Finished Chat
Chat Changed
Flora AI
Automatically do this!
Run a Technique
Get Run Status
Create A Project
Generate Content
List Techniques
List Projects
Create A Project in Flora when Finished Chat in Livechat
Use this flowCreate A Project in Flora when New Chat in Livechat
Use this flowList Techniques from Flora when New Chat in Livechat
Use this flowRun a Technique in Flora when Finished Chat in Livechat
Use this flowList Techniques from Flora when Finished Chat in Livechat
Use this flowRun a Technique in Flora when Chat Changed in Livechat
Use this flowGet Run Status from Flora when Chat Changed in Livechat
Use this flowCreate A Project in Flora when Chat Changed in Livechat
Use this flowRun a Technique in Flora when New Chat in Livechat
Use this flowGet Run Status from Flora when New Chat in Livechat
Use this flowEverything you can automate between LiveChat and Flora AI.
When this happensTriggers
A trigger is an event that starts a workflow.
Triggers when the chat is started.
Triggers when the chat is ended.
Triggers when the tag list for a chat was changed.
Action is the task that follows automatically within your LiveChat integrations.
Runs a selected Flora AI technique with the required inputs and returns a run ID and poll URL to track progress and retrieve outputs.
Retrieves the current status, progress, and output results of any Flora AI run technique or generation using the poll URL.
Creates a new project in your Flora AI workspace to organize generated assets and technique runs.
Generates AI content (image, video, audio, or text) from a prompt using any available Flora AI model. Returns a run ID and poll URL to track progress.
Retrieves a list of available Flora AI techniques with their names, descriptions, input schemas, and per-run cost.
Retrieves a list of all projects in your Flora AI workspace.

Follow a simple walkthrough to create, test, and launch your first automation.
Connect your apps
Link the apps you want to automate.
Configure your workflow
Set up triggers, actions, and map your data.
Test & publish
Test your workflow and publish it.
Recognized by leading review platforms and trusted by 10,000+ businesses worldwide.
Just describe the task in plain English. viaSocket AI selects the right apps, builds the workflow, maps the fields, and prepares everything for review before you publish.

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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 moreFlora AI is a creative AI platform that lets you run powerful visual techniques and generate images, videos, audio, and text using state-of-the-art AI models — all through a simple API.
Learn moreSign up for a free viaSocket account, then authorize both your LiveChat and Flora AI accounts. From there, pick a trigger in one app and an action in the other. Your first workflow can be live in under five minutes.
Yes. viaSocket uses instant triggers where available, so data moves between LiveChat and Flora AI as soon as the event happens. Scheduled polling triggers run at a maximum interval of 15 minutes.
Yes. You can map specific fields, apply filters to skip records that do not match your conditions, and transform values before they reach Flora AI. No coding required.
Yes. You can set up a workflow where LiveChat triggers actions in Flora AI, and a separate workflow where Flora AI triggers actions in LiveChat. Both run independently and in real time.
viaSocket logs every run so you can see exactly what succeeded and what failed. Failed tasks can be retried from the dashboard without re-configuring the workflow.
Yes, there is a free plan that covers basic workflows between LiveChat and Flora AI. Paid plans unlock higher task limits, faster polling, and advanced features like multi-step workflows and conditional logic.
No. The entire LiveChat and Flora AI integration is built through a visual, point-and-click interface. Code blocks are available if you want them, but they are never required.