Make Review

What Is Make?

Make is a visual automation platform for building workflows across business apps, data sources, APIs, and AI tools. It sits in the AI automation tools category because its core value is helping businesses connect software systems and automate repeatable work, rather than manually moving data between apps.

The platform was previously known as Integromat and is now part of Celonis. Make describes itself as an integration and automation development platform that helps businesses visualise systems, streamline processes, and put AI to work. For business users, that means Make can connect tools such as CRMs, email platforms, ecommerce systems, spreadsheets, project management apps, support desks, finance tools, and AI models into automated workflows.

The main problem Make solves is operational friction. Many small businesses and teams have useful software, but the tools do not always talk to each other cleanly. Leads may sit in forms, orders may need manual copying, support requests may need routing, and reports may need rebuilding every week. Make helps replace those repeated manual tasks with visual workflows called scenarios.

Make is especially relevant now because it goes beyond simple app-to-app automation. It can also be used to add AI into workflows, such as classifying leads, summarising emails, extracting information from files, routing customer requests, generating content drafts, or enriching records before they are sent to another system.

How Make Works

Make works by letting users build automated workflows visually. A typical workflow starts with a trigger, such as a new form submission, a new email, a webhook, a new order, a scheduled time, or a new record in another app. From there, the user adds modules that perform actions, transform data, check conditions, route information, or call external services.

A basic Make workflow might look like this:

1. A new lead submits a website form.
2. Make captures the form data.
3. The lead is added to a CRM.
4. AI summarises or categorises the enquiry.
5. The lead is routed to the right team member.
6. A Slack or email notification is sent.
7. A follow-up task is created.

Inside Make, users build these workflows using a visual canvas. Each app or action is represented as a module. Users connect modules together, choose what data should pass between them, set filters or conditional branches, and test the scenario before switching it on.

The inputs Make needs depend on the workflow. These may include app account connections, API keys, webhooks, form data, spreadsheet rows, customer records, file uploads, emails, or prompts for AI tools. The outputs can include updated CRM records, sent emails, created tasks, generated documents, enriched spreadsheets, customer support tickets, Slack messages, AI summaries, or structured data sent to another app.

For teams with technical skills, Make can also support more advanced workflows using HTTP requests, webhooks, custom apps, API calls, data manipulation, and code execution. For non-technical users, the visual builder makes many common automations possible without writing code, although complex workflows still require careful setup.

What Make Is Best At

Make is strongest when a business needs flexible, multi-step automation rather than a single simple connection between two apps. It is particularly useful for workflows that involve branching logic, filters, data transformation, multiple tools, AI processing, or different outcomes based on business rules.

For marketing agencies, Make can connect lead forms, ad platforms, CRMs, reporting dashboards, email tools, project management software, and client communication channels. This can reduce the amount of manual admin required to keep campaigns, leads, reports, and handovers moving.

For ecommerce stores, Make can help connect orders, inventory systems, fulfilment workflows, customer support tools, review requests, email marketing, returns, and reporting. It can be useful for store owners that have outgrown manual processes but are not ready for expensive custom integrations.

For consultants and service businesses, Make can automate client onboarding, proposal workflows, appointment scheduling, invoice reminders, form intake, file management, and follow-up emails. A coach or consultant, for example, could use Make to connect a booking form, payment platform, CRM, email sequence, and internal task board.

Make is also strong for AI-powered operations. A business can use AI inside a workflow to summarise customer enquiries, classify leads, extract data from documents, draft responses, score records, or prepare structured outputs for another system. The important point is that Make is not just generating content; it is connecting the AI output to an actual business process.

Ease of Use

Make is easier than custom development, but it is not the simplest automation tool on the market. The visual interface is one of its biggest advantages because users can see how data moves from one step to another. This makes it easier to understand complex workflows than reading code or managing hidden backend rules.

For beginners, the learning curve depends on the complexity of the workflow. A simple automation, such as sending a form submission to a spreadsheet and email inbox, can be built fairly quickly. More advanced scenarios involving routers, filters, error handling, API calls, AI prompts, and multiple systems take more planning.

Non-technical users can use Make, especially if they are comfortable with business software and willing to test workflows carefully. However, users still need to understand basic automation logic: triggers, actions, conditions, fields, data mapping, and testing. The platform is not difficult because of coding, but it can become complex because business workflows themselves are often complex.

Make provides templates, app integrations, help resources, Make Academy, and a community, which can help users get started. Agencies, consultants, and operations-minded founders will likely find Make more approachable than teams that simply want a “set and forget” tool with minimal configuration.

Output Quality and Performance

For an automation tool, output quality depends on reliability, workflow design, integration depth, and how well the user has tested the scenario. Make performs well when the workflow is clearly mapped, the connected apps are stable, and the data being passed between steps is predictable.

Make is flexible enough to support a wide range of business workflows. Its routers and filters allow users to create conditional logic, while data manipulation tools help transform information before it reaches the next app. Webhooks and HTTP modules also make it useful when a business needs to connect tools that are not covered by a standard integration.

The AI-related features make Make more powerful for modern workflows, especially where unstructured data needs to be summarised, classified, extracted, or turned into a structured action. For example, an incoming email can be summarised by AI, tagged by urgency, added to a CRM, and routed to the correct team.

The main performance risk is not usually Make itself, but poor workflow design. Automations can fail when an app changes its API, a field is renamed, a user disconnects an account, a workflow exceeds plan limits, or an edge case was not tested. Businesses using Make for important workflows should monitor execution history, set up error handling where possible, and review scenarios regularly.

Make is best treated as part of an operations system, not a magic shortcut. Well-designed scenarios can save time and reduce admin. Poorly designed scenarios can move bad data faster.

Pricing: Is Make Good Value?

Make appears to offer strong value for businesses that need flexible automation and are willing to learn the platform. The free plan is useful for testing the interface and building small workflows. Paid plans are priced around monthly credits, with each module action in a scenario generally counting as one credit.

As of the latest review, Make’s public pricing page lists a free plan with up to 1,000 credits per month. Paid plans currently start at around $9/month for Core with 10,000 credits, $16/month for Pro with 10,000 credits, and $29/month for Teams with 10,000 credits. Enterprise pricing is custom. Pricing, credits, limits, and included features can change, so readers should always check the official Make pricing page before subscribing.

Plan	Current starting price	Best for	Key notes
Free	$0/month	Testing Make and building a first scenario	Includes up to 1,000 credits/month, visual builder, 3,000+ apps, routers and filters, customer support, and a 15-minute minimum interval between runs.
Core	From around $9/month	Individuals and small businesses with fundamental automation needs	Adds unlimited active scenarios, scheduled scenarios down to one-minute intervals, higher data transfer limits, and access to the Make API.
Pro	From around $16/month	Users needing more advanced automation control	Adds priority scenario execution, custom variables, and full-text execution log search.
Teams	From around $29/month	Teams collaborating on automation workflows	Adds team roles and the ability to create and share scenario templates.
Enterprise	Custom pricing	Larger organisations with security, scale, and governance needs	Adds features such as enterprise app integrations, advanced security, 24/7 Enterprise support, overage protection, and access to Make’s Value Engineering team.

Make can be good value compared with hiring developers for every integration or paying staff to manually move data between systems. The value becomes clearer when a workflow runs frequently, touches multiple tools, or saves meaningful admin time.

However, businesses should pay attention to credits. A workflow with many modules or frequent runs can use credits faster than expected. Before upgrading, it is worth estimating how often the automation will run and how many steps it includes.

Where Make Falls Short

Make’s biggest limitation is that flexibility comes with complexity. It is more powerful than many basic automation tools, but that also means users need to think carefully about workflow structure, data mapping, filters, error cases, and maintenance.

For very simple automations, Make may feel more detailed than necessary. If a user only wants to connect one trigger to one action, a simpler tool like Zapier may be easier to understand at first. Make becomes more compelling when the workflow needs more logic, branching, data handling, or multiple app connections.

Credit-based pricing is another area to watch. The starting prices can look affordable, but the real cost depends on how often scenarios run and how many module actions they use. Businesses with high-volume workflows should review usage regularly and compare plan limits before committing.

Make is also not a replacement for business process thinking. If a team has unclear workflows, messy data, or inconsistent naming conventions, automation can expose those issues quickly. The best results usually come after the business has mapped the process, cleaned up the data, and defined what should happen in common scenarios.

Some advanced workflows may still require technical help. Webhooks, APIs, custom apps, code modules, and complex error handling are powerful, but they may be outside the comfort zone of a typical non-technical business owner.

Best Workflow for Using Make

1. Choose one high-value workflow first
   Start with a repeatable task that happens often and has a clear business outcome. Good examples include lead routing, customer onboarding, order follow-up, reporting, support ticket triage, invoice reminders, or content approval workflows.

2. Map the process before building
   Write down the trigger, every step, the apps involved, the data fields required, the desired output, and what should happen if something goes wrong. This avoids building a messy automation that only works in ideal conditions.

3. Connect the core apps
   Add the main tools involved in the process, such as a form builder, CRM, email platform, ecommerce store, spreadsheet, help desk, Slack, project management tool, or AI app.

4. Build the scenario visually
   Add each module in Make, map the fields carefully, and use routers or filters where different conditions require different outcomes. If AI is involved, define the prompt, output format, and fallback handling clearly.

5. Test with real examples
   Run the workflow using realistic data, including edge cases. Test missing fields, duplicate records, unusual customer messages, failed app connections, and high-priority cases.

6. Switch on the workflow gradually
   Start with a low-risk version before relying on it for mission-critical work. Keep humans in the loop for review if the workflow affects customers, payments, legal documents, financial records, or sensitive decisions.

7. Monitor and improve
   Review execution history, credit usage, errors, and workflow outcomes. Adjust filters, prompts, field mapping, and routing rules as the business process changes.

Our Take

Make is one of the strongest tools to consider when a business wants serious workflow automation without building custom software from scratch. It is especially useful for agencies, ecommerce stores, consultants, founders, and operations teams that need to connect several tools and automate repeatable tasks with more control than basic trigger-action workflows.

The visual builder makes Make approachable, but it should not be mistaken for a tool that requires no thinking. The best users will be those who are willing to map workflows properly, test scenarios, monitor results, and improve automations over time.

Small businesses should consider Make if they are spending too much time copying data between apps, manually following up with leads, building reports, routing support requests, or coordinating repetitive internal processes. Agencies should also take it seriously because it can be used to build repeatable automation systems for clients.

Users who only need one or two simple automations may want to compare Make with Zapier before committing. More technical teams may also want to compare Make with n8n, especially if they prefer self-hosting or deeper developer control. Larger organisations with enterprise governance needs should compare Make with Workato and other enterprise automation platforms.

Overall, Make is a strong fit for AI Tool Cafe’s automation category because it combines practical business automation, AI workflow orchestration, broad integrations, and enough flexibility to support real operational use cases.