IntegrationsAero WorkflowCausal
Aero Workflow + Causal

Connect Aero Workflow and Causal to Build Intelligent Automations

Choose a Trigger

Aero Workflow

When this happens...

Choose an Action

Causal

Automatically do this!

We'll help you get started

Our team is all set to help you!

Customer support expert avatarTechnical support expert avatarAutomation specialist expert avatarIntegration expert avatar

Frequently Asked Questions

How do I start an integration between Aero Workflow and Causal?

To start, connect both your Aero Workflow and Causal accounts to viaSocket. Once connected, you can set up a workflow where an event in Aero Workflow triggers actions in Causal (or vice versa).

Can we customize how data from Aero Workflow is recorded in Causal?

Absolutely. You can customize how Aero Workflow data is recorded in Causal. This includes choosing which data fields go into which fields of Causal, setting up custom formats, and filtering out unwanted information.

How often does the data sync between Aero Workflow and Causal?

The data sync between Aero Workflow and Causal typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.

Can I filter or transform data before sending it from Aero Workflow to Causal?

Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.

Is it possible to add conditions to the integration between Aero Workflow and Causal?

Yes, you can set conditional logic to control the flow of data between Aero Workflow and Causal. 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.

Aero Workflow

About Aero Workflow

Aero Workflow management designed by accountants for accountants. It is a robust and flexible automation platform designed to streamline business processes across various domains.

Learn More
Causal

About Causal

Causal is a modern tool designed to simplify financial modeling, forecasting, and data analysis. It allows users to create dynamic models with ease, offering a more intuitive and collaborative approach to handling complex data. With Causal, users can connect their data sources, visualize outcomes, and share insights seamlessly, making it an ideal solution for businesses and individuals looking to enhance their decision-making processes.

Learn More