Make (formerly Integromat) is a visual, no-code automation and integration platform that lets teams connect 3,000+ apps, orchestrate AI agents, and build complex workflows in a drag-and-drop interface.
Make (formerly Integromat) is a visual-first automation and integration platform that has carved out a strong position between simple no-code tools like Zapier and heavy enterprise iPaaS solutions. With over 3,000 pre-built app connectors, a drag-and-drop scenario builder, and native AI agent orchestration, it appeals to teams that need more control and flexibility than basic automation tools provide, without requiring deep engineering resources. The platform is used by companies ranging from startups to large enterprises, and its visual approach makes complex multi-step workflows easier to design, monitor, and maintain.
The core of Make is its scenario builder, which lets users connect apps, transform data, and handle logic with routers, filters, iterators, and error handling. Unlike many competitors, Make offers rich data mapping and transformation capabilities out of the box, along with an HTTP module for connecting to any REST API and a Code App for adding JavaScript or Python steps. The platform also includes Make AI Agents and the Maia AI builder, allowing teams to incorporate AI models into their workflows without writing custom code. For governance, Make provides role-based access control, audit logs, and compliance with SOC 2 Type II, GDPR, and ISO 27001.
Pricing is credit-based, with a free plan offering 1,000 credits per month. Paid plans start at $9/month for Core (10,000 credits), $16/month for Pro, and $29/month for Teams, with enterprise plans available for larger organizations. This structure can be cost-effective for complex automations compared to per-task pricing models, but credit consumption can be unpredictable for high-volume or iterative workflows. Annual billing discounts are available, and the free plan is generous enough for small teams to test and build basic automations.
Make is best suited for teams that have outgrown simple automation tools and need deeper data manipulation, conditional logic, and API integration. It works well for marketing operations, sales pipeline management, customer onboarding, and back-office process automation. The visual builder is a strength for non-developers, but the learning curve is real -- especially when dealing with complex data structures or debugging failed scenarios. Customer support is a common pain point, particularly for users on lower-tier plans.
Overall, Make is a powerful and flexible automation platform that delivers strong value for teams willing to invest time in learning its capabilities. Its combination of visual design, extensive app ecosystem, and AI orchestration makes it a compelling choice for organizations that need to automate sophisticated workflows without moving to a full enterprise iPaaS. For teams that prioritize control and customization over simplicity, Make is a top contender.
Features
- Combines ease-of-use for non-developers with enough depth for advanced automation engineers.
- Very broad and deep app ecosystem with 3,000+ pre-built integrations and strong HTTP/API tooling.
- Competitive pricing, especially for sophisticated workflows compared with some enterprise iPaaS platforms.
- Enterprise-ready security and governance through SOC 2 Type II, GDPR compliance, ISO 27001 program, SSO, and on-prem agents.
Pricing
Pros
- Powerful visual builder that makes it easy to design and understand complex, multi-step automations.
- Huge library of connectors and templates, often with deeper field-level support than competing tools.
- Very flexible data manipulation, routers, iterators, and error handling that appeal to power users.
- Cost-effective for advanced workflows compared to some alternatives, with a generous free plan.
- Strong AI and API capabilities, including OpenAI integrations, AI Agents, and an HTTP module for custom APIs.
- Reliable execution once scenarios are properly configured, with step-by-step testing and detailed logs.
Cons
- Steep learning curve for non-technical users, especially when working with complex scenarios and data structures.
- Error messages and debugging experience can be confusing, making it harder to troubleshoot failing scenarios.
- Customer support responsiveness and depth of help are frequently criticized in reviews, especially for non-enterprise plans.
- Credit/operation-based pricing can be hard to predict and may lead to unexpected overages on complex or high-volume workflows.
- Some integrations or connectors occasionally behave inconsistently or require workarounds, and migration from legacy Integromat caused friction for some users.
Best For
Best for teams that need a highly flexible, visual no-code automation platform with strong data transformation and AI capabilities to orchestrate complex workflows across many SaaS tools.