Make: Complete Guide to Workflow Automation and AI Agents

Make is a visual automation platform designed to help businesses connect apps, data, and AI tools to automate repetitive processes. Instead of manually moving information between different applications, users can create workflows that automatically perform tasks when a specific event occurs.

Make supports 3,000+ pre-built apps and also provides tools for connecting custom systems through APIs. Its visual-first approach makes it possible to build workflows by connecting modules, while more advanced users can add custom code, APIs, webhooks, and AI capabilities.  

What Is Make?

Make is a no-code and low-code automation platform that allows users to create automated workflows between different applications.

For example, a simple workflow could be:

New Lead → Google Sheets → CRM → Email → Sales Notification

Once the workflow is configured, Make can automatically move information between these applications without requiring someone to perform every step manually.

The platform can be used for simple automations as well as complex workflows involving multiple branches, conditions, applications, and AI-powered actions.

How Does Make Work?

Make uses a visual workflow builder called a scenario.

A scenario consists of connected modules that tell Make what should happen and when it should happen.

A typical workflow can contain:

Trigger → Action → Filter → Router → Action → Notification

For example:

New Form Submission
↓
Check Lead Information
↓
Add Lead to CRM
↓
Send Email
↓
Notify Sales Team

Make supports trigger, action, and search modules, allowing users to monitor events, create or update information, and retrieve data from connected applications.  

Key Features of Make

Visual Workflow Builder

Make provides a visual-first builder where users can drag, drop, and connect modules to create workflows. This makes it easier to see how data moves through an automation.  

3,000+ App Integrations

Make provides access to more than 3,000 pre-built apps. Users can connect popular tools across CRM, marketing, productivity, finance, communication, ecommerce, and AI.  

Routers and Filters

Routers allow a workflow to split into different paths, while filters determine whether specific data should continue through a particular path.

For example:

New Order → Check Order Value

If the order is above a certain amount, it can go to one path. If it is below that amount, it can follow another.

AI Automation

Make allows users to add AI directly into business workflows. AI can be used for tasks such as content generation, classification, summarization, data enrichment, and analysis.  

AI Agents

Make AI Agents can handle workflows that require more adaptive decision-making. Agents can work across connected applications and use business context to determine what actions should happen next.

Make also provides visibility into agent decisions and workflow activity, allowing users to monitor how AI-driven processes operate.  

Maia by Make

Maia allows users to create and troubleshoot automations and AI agents using natural-language instructions, making workflow creation easier for users who do not want to build everything manually.  

Custom Apps and APIs

If an application is not available as a pre-built integration, Make provides options for connecting systems through APIs. Its HTTP tools can be used to connect with services that offer an API.  

Make Code

Advanced users can use JavaScript or Python inside workflows when standard no-code modules are not enough for a particular requirement.  

MCP Support

Make also provides MCP capabilities that allow AI systems to interact with Make scenarios and connected tools, expanding how AI agents can work with business workflows.  

Make for Marketing Automation

Marketing teams can use Make to automate lead collection, customer segmentation, email campaigns, data synchronization, and notifications.

For example:

Lead Form → Make → CRM → Email Platform → Sales Notification

This can reduce repetitive data entry and help marketing teams respond to new leads more efficiently.

Make for Sales Automation

Sales teams can connect lead-generation platforms, CRM systems, email tools, spreadsheets, and communication applications.

A workflow could:

• Capture a new lead

• Add the lead to a CRM

• Assign the lead to a salesperson

• Create a follow-up task

• Send a notification

• Start an email sequence

This allows sales teams to spend more time on customer interactions rather than repetitive administrative work.

Make for Ecommerce

Ecommerce businesses can use Make to automate order management, customer updates, inventory workflows, marketing activities, and internal notifications.

A basic workflow could be:

New Order → Update Customer Record → Process Order Data → Notify Team

More advanced workflows can use routers and filters to create different actions based on order value, product type, customer status, or other conditions.

Make for AI Workflows

Make is increasingly focused on combining traditional automation with AI.

Businesses can connect AI applications such as OpenAI, Google Gemini, Anthropic Claude, Perplexity, ElevenLabs, and other AI services to their workflows. Make currently highlights 400+ AI app integrations across its AI automation ecosystem.  

For example:

Customer Message → AI Classification → Determine Intent → CRM Update → Team Notification

This allows AI to become part of a larger automated business process instead of being used as a separate tool.

Make AI Agents vs Standard Automation

Traditional automation follows predefined rules.

For example:

New Lead → Add to CRM → Send Email

An AI Agent can be useful when the workflow requires reasoning or judgment.

For example:

Customer Message → Understand Request → Check Available Information → Decide Next Action → Respond or Escalate

Make positions AI Agents as a complement to standard automation, particularly for workflows involving unstructured information or situations where the next action cannot always be defined by a simple fixed rule.  

Make for Business Operations

Make can be used across multiple business functions, including:

• Sales

• Marketing

• Finance

• Customer Experience

• HR

• Operations

• IT

• Ecommerce

The platform can connect different systems so teams can automate processes without replacing their existing software stack.  

Make Pricing

Make uses a credit-based pricing model, where module actions consume credits.

The current plans include:

• Free: $0/month with up to 1,000 credits/month

• Core: $12/month for 10,000 credits/month

• Pro: $21/month for 10,000 credits/month

• Teams: $38/month for 10,000 credits/month

• Enterprise: Custom pricing

The Free plan includes the visual workflow builder, 3,000+ apps, routers and filters, and has no time limit.  

Who Should Use Make?

Make can be useful for:

• Small businesses

• Startups

• Marketing teams

• Sales teams

• Ecommerce businesses

• Agencies

• Operations teams

• Developers

• AI-focused teams

• Enterprise organizations

It is especially suitable for teams that need to connect multiple applications and build workflows that go beyond simple one-to-one automation.

Benefits of Make

• Visual workflow builder

• 3,000+ app integrations

• AI automation

• AI Agents

• Routers and filters

• API connectivity

• Webhooks

• Custom apps

• JavaScript and Python support

• MCP capabilities

• Natural-language automation with Maia

• Free plan available

• Suitable for simple and advanced workflows

Things to Consider Before Using Make

Make provides extensive control, but that flexibility can also make advanced workflows more difficult for beginners.

Users creating complex scenarios should start with a simple workflow, test each step, monitor executions, and gradually add conditions and branches.

It is also important to understand credit usage because each module action can consume credits depending on the workflow and plan.  

Final Verdict

Make is a strong option for businesses that want more control over their automation workflows. Its combination of visual workflow building, thousands of integrations, AI automation, AI Agents, APIs, custom code, and advanced workflow logic makes it suitable for both everyday business automation and more sophisticated processes.  

For beginners, the best approach is to start with one repetitive task and build a simple scenario. Once the workflow is working correctly, users can expand it with filters, routers, AI tools, APIs, and AI Agents.