In many companies, the same information is copied every day between forms, spreadsheets, email, the CRM, WordPress and messengers. Each individual task is short, but over a month it can consume dozens of hours of work.
Make.com lets you connect apps and build automated processes without traditional programming. A new form can create a contact in the CRM, generate a reply with AI, save the data in a spreadsheet, send a message and notify the team.
The platform, formerly known as Integromat, is especially popular among agencies, online stores, content creators and companies that use many online tools.
In 2025, Make developed its first generation of AI agents and switched from billing by operations to credits. In 2026, the new version of Make AI Agents works directly in the visual scenario builder. An agent can analyze data, make decisions and choose the right tools, while the user sees the course of the entire process.
In this review we look at how Make.com works, how much it costs, how scenarios differ from AI agents, and whether it is worth automating your business with it.
What is Make.com?
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Make.com is a no-code platform for connecting apps and automating repetitive tasks.
The automation process is called a scenario. It consists of modules representing individual actions, for example:
- fetching data from a form,
- creating a row in Google Sheets,
- generating text in ChatGPT,
- creating an article draft in WordPress,
- sending a message in Gmail,
- adding a customer to the CRM,
- publishing a post on social media.
Scenarios are built in a visual editor. The user sees the apps, connections, filters, conditions and the direction of the data flow.
You can create an account through Make.com – the automation and AI agent platform. The free plan has no time limit.
How does Make.com work?
Every scenario starts with a trigger. It can be a specific event or a schedule.
Example triggers include:
- a new row in a spreadsheet,
- a submitted form,
- a new order,
- an email message,
- a new file in a folder,
- a specific time,
- a webhook sent by another app.
After the scenario starts, Make performs the subsequent actions.
An example content automation might look like this:
- An article topic appears in Google Sheets.
- Make passes the topic to an AI model.
- The AI prepares the structure and the text.
- An image is generated in the tool of your choice.
- The post goes to WordPress as a draft.
- The task status changes in the spreadsheet.
- The editor receives a notification.
The process can run automatically, but when publishing content it is worth keeping a human review step.
Key Make.com features
| Feature | Use |
|---|---|
| Visual Scenario Builder | Building automations in the form of a diagram |
| App modules | Fetching, creating and updating data |
| Routers | Splitting the process into several paths |
| Filters | Triggering actions once a condition is met |
| Webhooks | Receiving data instantly |
| Iterators | Processing list items one at a time |
| Aggregators | Combining multiple items into one result |
| Data Stores | Storing data inside Make |
| Error Handlers | Error handling and retrying actions |
| Make AI Toolkit | Ready-made artificial intelligence features |
| Make AI Agents | Agents that make flexible decisions |
| MCP Server | Exposing scenarios to AI tools |
| API | Connecting Make to your own systems |
| Templates | Ready-made automation templates |
App integrations
Make offers over 3000 apps and tens of thousands of possible actions.
You can connect, among others:
- Google Sheets,
- Gmail,
- WordPress,
- WooCommerce,
- Shopify,
- OpenAI,
- Claude,
- Gemini,
- Airtable,
- Notion,
- Slack,
- Telegram,
- Facebook,
- Instagram,
- Google Drive,
- Dropbox,
- HubSpot,
- Pipedrive,
- Canva.
If an app does not have a ready-made integration, you can often connect it through a webhook or an HTTP module that uses the API.
Make AI Agents
Make AI Agents are agents that operate inside scenarios. Unlike ordinary automation, they do not always have to perform an identical sequence.
An agent can:
- analyze the content of a request,
- recognize the customer’s intent,
- choose the right tool,
- check data in several systems,
- make a decision,
- prepare a reply,
- hand the case over to a human.
The agent receives instructions, knowledge and access to specific tools. It can, for example, use the CRM, email, a calendar and a document base.
Example uses include:
- qualifying leads,
- classifying requests,
- analyzing documents,
- conducting research,
- preparing reports,
- creating content,
- SEO analysis,
- initial customer support.
The new generation of Make AI Agents has been placed directly in the Scenario Builder, so you can review the agent’s decisions and analyze errors.
Scenario, AI module or agent?
Not every task requires an AI agent.
| Type of process | Best solution |
|---|---|
| Copying an order to a spreadsheet | Standard scenario |
| Sending an invoice after a purchase | Standard scenario |
| Translating a product description | AI module in a scenario |
| Summarizing a document | AI module in a scenario |
| Classifying unusual requests | AI agent |
| Choosing how to handle a lead | AI agent |
| Market analysis from several sources | AI agent |
An ordinary scenario is more predictable and easier to control. An agent should be used when the process requires interpretation and making varied decisions.
You should not hand an agent independent legal or financial decisions, or other high-risk actions, without human oversight.
Make AI Toolkit
Make AI Toolkit lets you add AI features without building a full agent.
It can be used for:
- summarizing,
- classifying,
- translating,
- extracting data,
- categorizing text,
- preparing replies,
- analyzing reviews.
Make can use its own model provider or the user’s own API key for OpenAI, Anthropic or another platform.
With your own key, the company pays Make for the actions performed and the AI provider for the tokens used.
SEO and content automation
Make can be the central element of a content publishing system.
An example process:
Such an automation should not publish unchecked articles. The safest approach is to end the process at creating a draft.
Make can also be used for:
- updating old articles,
- generating SEO reports,
- monitoring errors,
- analyzing data from Search Console,
- creating briefs,
- distributing content on social media.
E-commerce automation
In an online store, Make can connect WooCommerce or Shopify with the warehouse, email, spreadsheets and the marketing system.
Example uses:
- sending orders to the wholesaler,
- updating stock levels,
- creating invoices,
- informing the team about a large order,
- adding customers to the appropriate segments,
- creating product descriptions,
- generating sales reports,
- reacting to abandoned carts,
- synchronizing marketplaces.
The more complex the process, the more important error handling and duplicate control become. A faulty scenario can send a message several times or create repeated orders.
Lead generation automation
Make can connect a form, an ad, the CRM, email and a calendar.
An example process:
- A customer fills in a form.
- The data goes into the CRM.
- AI assesses the inquiry.
- The lead receives the appropriate tag.
- A salesperson gets a notification.
- The customer receives a personalized message.
- A meeting booking link is sent automatically.
In a more advanced process, an AI agent can check the company’s website, industry and project size and prepare a short summary for the salesperson.
Make.com pricing 2026
Make bills usage in credits. In most standard modules, one action performed uses one credit.
The prices below are for 10 000 credits per month with annual billing.
| Plan | Price | Main use |
|---|---|---|
| Free | 0 USD | Testing and simple scenarios |
| Core | 9 USD per month | Small business automations |
| Pro | 16 USD per month | Advanced processes and AI |
| Teams | 29 USD per month | Teamwork |
| Enterprise | Custom quote | Large organizations |
Prices rise with the number of credits selected. Packages are available from 10 thousand to several million credits per month.
Free plan
The free plan includes:
- 1000 credits per month,
- access to the builder,
- over 3000 apps,
- routers and filters,
- a minimum run interval of 15 minutes.
The plan is enough for learning and simple tests. The limit can be used up quickly if a scenario contains several modules and runs often.
Core plan
Core includes, among other things:
- 10 000 credits in the basic variant,
- unlimited active scenarios,
- a schedule that can run as often as every minute,
- access to the Make API,
- higher transfer limits.
For a small business this will usually be the best plan to start with.
Pro and Teams plans
Pro adds, among other things:
- priority scenario execution,
- custom variables,
- search in the execution history,
- features useful for complex processes.
Teams extends Pro with team management, roles and template sharing.
An agency serving many clients should consider Teams, especially when several people build and oversee scenarios.
How do credits work?
In standard apps, each module action usually uses one credit.
If a scenario has five modules and runs 100 times, it may use about 500 credits. The actual result depends on the number of items processed, routers, iterators and errors.
AI features may bill credits dynamically based on:
- the number of tokens,
- the selected model,
- file size,
- the number of pages,
- processing time.
Since 2025, the term “operations” has been replaced by credits. In ordinary integrations, however, the way of counting remained similar: one module run usually means one credit.
Do unused credits roll over?
On a monthly plan, credits expire at the end of the billing period.
On selected annual plans, credits are purchased upfront and can be used throughout the entire annual period. This gives more flexibility to companies whose automations have a seasonal load.
Additional credits currently cost more than the credits included in the base plan. If you frequently exceed the limit, it may be more cost-effective to upgrade your subscription.
Make.com in 2025 and 2026
| Area | Make in 2025 | Make in 2026 |
|---|---|---|
| Billing | Move from operations to credits | Expanded credit model |
| AI Agents | First generation of agents | New agents directly in scenarios |
| Agent control | Separate elements | Visual testing and debugging |
| MCP | Introduction of the MCP server | Connecting AI with over 3000 apps |
| AI features | Mainly external models and Toolkit | Agents, Web Search and Content Extractor |
| Use | No-code automations | Automations and agentic processes |
The most important change is combining predictable scenarios with flexible decision-making by AI agents.
Make.com or Zapier?
| Criterion | Make.com | Zapier |
|---|---|---|
| How you build | Visual diagram | Mainly linear steps |
| Complex branching | Very extensive | Available, but less visual |
| Free plan | 1000 credits | Limited number of tasks |
| Paid plan | From 9 USD per year for 10 000 credits | Higher entry price |
| AI Agents | Available in the Make environment | Separate Agents ecosystem |
| Learning curve | Slightly higher | Easier start |
| Best for | Complex and scalable processes | Simple automations |
Zapier may be easier for someone building a very simple process. Make gives you more control with routers, iterators, aggregators and multi-step scenarios.
Advantages of Make.com
Visual builder
The entire process is visible on a single diagram.
A large number of integrations
Over 3000 apps let you connect most popular tools.
Low entry cost
Core starts at 9 USD per month with annual billing.
Advanced logic
Routers, filters and aggregators let you build complicated processes.
Make AI Agents
Agents can analyze changing situations and choose the appropriate actions.
Free plan
1000 credits is enough for learning and simple automations.
Disadvantages and limitations of Make.com
Requires learning
With more complex scenarios you need to understand data structure, arrays and field mapping.
Credits are easily wasted
Poorly designed iterators and frequent schedules can quickly use up the limit.
Errors can stop the process
A scenario should have error handling and notifications.
AI can increase costs
In addition to Make credits, the user may pay an external provider for tokens.
Automation requires maintenance
A change to an API, a form or the structure of a spreadsheet can cause a scenario to stop working.
Who is Make.com a good choice for?
Consider Make if you:
- perform many repetitive tasks,
- use several apps,
- run an online store,
- publish a lot of content,
- handle leads,
- work in an agency,
- want to build AI agents,
- need more advanced logic than a simple connection between two apps.
The greatest value goes to companies with a clearly described, repeatable process.
How to start automating?
It is best to start with a simple task that is performed several times a week.
A good first scenario can:
- Receive data from a form.
- Save it in Google Sheets.
- Send an email.
- Notify the team.
Once you have checked its stability, you can add further modules, conditions and AI.
It is not worth automating the whole company at once. First you need to learn the cost of a single run, the possible errors and how to recover data.
The most common mistakes
Building an overly complicated scenario
One huge process is harder to test and fix than several smaller scenarios.
No error handling
The failure of a single app stops the entire workflow.
A schedule that is too frequent
The scenario checks data every minute, even though running it once an hour would be enough.
No duplicate control
The same data is created or sent several times.
Automatic publishing without approval
AI text goes onto the site without fact-checking and formatting.
No documentation
After a few months no one remembers why a particular filter or condition was used.
Is Make.com worth using in 2026?
Make.com is one of the most versatile tools for automating business processes without programming.
Its greatest advantage is the visual builder, which lets you combine simple rules, advanced logic and artificial intelligence. A company can start by copying data between apps and then extend the process with classification, analysis and AI agents.
The Free plan is enough for learning, while Core will suit most first deployments. Pro and Teams are intended for more complex processes and teams.
The most sensible approach is to start with a free Make.com account, automate one specific task, and only after checking the results expand the whole system.
Make.com review 2026 – summary
Make.com lets you automatically connect apps, move data, publish content and build AI agents.
The key features include the visual Scenario Builder, routers, filters, webhooks, integrations with over 3000 apps, Make AI Toolkit, Make AI Agents and MCP Server.
The biggest advantages are flexibility, an attractive price, a large number of integrations and the ability to build advanced processes without classic programming.
The key limitations are the need to learn, to keep an eye on credits, to handle errors and to regularly check that scenarios are working.
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