
When this happens...
New Contact Created
New Account Created
New Deal Created
New Task
Automatically do this!
Send Message To AI
Call AI Agent Instantly
Setup Webhook for Alert
Call AI Agent in Background
When this happensTriggers
A trigger is an event that starts a workflow.
Runs when a new contact is created.
Runs when a new account is created.
Runs when a new deal is created.
Triggers when a new task is created.
Send an alert when an error occurs for one or more selected bridges.
Send an alert for selected bridges when required variables are missing, prompting you to correct the configuration.
Action is the task that follows automatically within your Freshsales Classic integrations.
Finds an account by name or ID.
Finds an existing contact by email or ID.
Creates a new account in Freshsales Classic.
Create a new contact.
Updates an existing account.
Updates an existing contact in Freshsales Classic.

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To start, connect both your Freshsales Classic and Gtwy accounts to viaSocket. Once connected, you can set up a workflow where an event in Freshsales Classic triggers actions in Gtwy (or vice versa).
Absolutely. You can customize how Freshsales Classic data is recorded in Gtwy. This includes choosing which data fields go into which fields of Gtwy, setting up custom formats, and filtering out unwanted information.
The data sync between Freshsales Classic and Gtwy 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 Freshsales Classic and Gtwy. 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.
Freshsales Classic is an online, cloud-based CRM with integrated phone and email, user behavior tracking, lead scoring and more.
Learn MoreAI Middleware is a platform designed to facilitate seamless integration and interaction between artificial intelligence systems and other software applications. It acts as an intermediary layer that simplifies the communication and data exchange processes, enabling developers to build more efficient and scalable AI-driven solutions.
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