How
How
How
How
How to Create Automation with Make by Using Webhooks
How to Create Automation with Make by Using Webhooks
How to Create Automation with Make by Using Webhooks
How to Create Automation with Make by Using Webhooks
May 12, 2025
May 12, 2025
Aicado's AI agent can significantly enhance your website’s interactivity, making it easier to engage with your audience in a dynamic way. Using Make (formerly Integromat), you can connect Aicado’s AI agent to your platform through a webhook. This guide will walk you through the integration process step-by-step.
What is Automation with Make?
Automation with Make (formerly Integromat) allows you to connect apps and services to create workflows that eliminate repetitive tasks, enhance efficiency, and ensure seamless data flow. Make provides a visual, no-code platform where users can design automated processes—called scenarios—by linking different tools and actions together.
Why Use the Automation with Make?
Make is an intuitive automation platform that allows you to connect apps and services without coding. By using its webhook functionality, you can create a seamless connection between Aicado's AI agent and your preferred platform.
How Does It Work?
Steps to Integrate Aicado AI agent with Make Webhook:
What You Need Before Starting:
An Aicado account with a chatbot model ready
Access to your Make account
A platform where the webhook will send/receive data
Step 1: Create an AI agent
Log in to your Aicado account and click to "Create AI Tool" button
Step 2: Create a Webhook URL in Make:
Log in to your Make account
In the Make dashboard, create a new scenario
Add a Webhook module by clicking the plus icon (+) and selecting Custom Webhook
Click Add to create a new webhook and copy the URL provided
Step 3: Configure the Webhook in Aicado:
Return to the Aicado AI agent's features tab
Paste the Make webhook URL into the designated field in the webhook setup section under the "Features"
Step 4: Customize AI Agent Behavior (Optional):
In AI Agent, go to the Knowledge tab
Adjust the agent's tone, appearance, and responses to fit your brand
Test and finalize the agent's behavior
Step 5: Test the Webhook Connection:
Trigger the chatbot on your website or application
Verify that the data from Aicado reaches Make by observing the live webhook logs in the Make dashboard
If necessary, add modules in Make to process or route the received data
Step 6: Add Additional Actions in Make:
Use Make’s visual editor to create workflows for your chatbot responses
Examples:
Send responses to a database
Notify your team on Slack
Update a Google Sheet
Step 7: Deploy the Integration:
Once the scenario is complete, click Run Once in Make to test the full workflow
After verifying everything works as expected, activate the scenario to run automatically
Final Tips:
🛠️ Troubleshooting: If the webhook doesn't trigger, double-check the URL in Aicado and test the connection in Make again
💼 Upgrade Plans: Certain Make features may require a paid plan. Verify your requirements before scaling
📚 Documentation: Refer to Aicado's or Make's documentation for advanced customization
Play Video — Learn how to connect your AI chatbot to Make and build custom automations using webhooks ← Watch now. no-code needed!
What Can You Do with Your Automation with Make?
Some Example Scenario(s) Educational Progress Tracking:
Scenario:
An online learning platform uses Aicado’s chatbot to monitor student progress and provide personalized recommendations
Real-Time Feedback:
The chatbot checks quiz results and suggests additional resources for improvement
Progress Reports:
At the end of each week, Make generates a PDF progress report for each student and sends it via email
Parent/Teacher Notifications:
For younger students, progress updates are automatically shared with parents or teachers via WhatsApp or email
Benefits:
🎓 Engaging Learning Experience: Students receive timely, tailored guidance
📢 Transparency: Parents and teachers stay informed of student progress
🚀 Scalability: Automating these processes makes it easier to manage a growing number of students
E-Commerce Product Recommendations:
Scenario:
An online retailer uses Aicado’s chatbot to recommend products based on customer preferences
Real-Time Responses:
When a customer describes what they are looking for, the AI suggests products using a webhook integration with the retailer’s database
Personalized Follow-Up:
Parameters like user_id allow the chatbot to log the conversation and send follow-up emails with tailored promotions
Data Storage:
Each interaction is logged into a CRM system via Make
Benefits:
🛍️ Improved Customer Experience: Personalized product recommendations make shopping more engaging
📈 Higher Conversion Rates: Automated follow-ups help turn casual browsers into buyers
📊 Streamlined Management: Customer interactions are centralized for better sales tracking
