Make.com
Visual AI automation platform — build workflows and AI agents across 2,000+ apps.
Overview
Make.com: The Visual AI Automation Platform
Make is the visual AI automation platform — connect any app, data source, or AI model and build automations and AI agents visually, in code, or with a prompt. With 2,000+ apps integrated and a generous free plan with no time limit, Make is the most-used iPaaS for non-engineers and one of the leading platforms for shipping AI agents into real business workflows.
The 2026 version of Make ships with native AI Agents — long-running, memory-aware automations that go beyond linear if-this-then-that flows. Trusted by BNY, Bolt, Finn, Gojob, Tally, Perk, and tens of thousands of mid-market businesses, Make is the canonical answer for "how do I automate this?" in the no-code world.
Key Features:
- Visual drag-and-drop workflow builder
- 2,000+ pre-built app integrations
- AI Agents with memory and long-running execution
- Code, visual, and prompt-based authoring on one platform
- No credit card required, no time limit on Free plan
- Real-time error handling and observability
- Enterprise-ready security and SSO
- Used by BNY, Bolt, Finn, Gojob, Tally, Perk
- Active community and template library
Ideal Use Case:
Make is ideal for ops, marketing, and RevOps teams that need to automate cross-app workflows without writing code. Especially strong for organizations that want to ship AI agents into existing business processes (CRM, support, finance) without engineering involvement.
Why Use Make:
- 2,000+ integrations out of the box
- Visual + code + prompt — choose your authoring style
- Free plan with no time limit
- AI Agents native to the platform
- Used by tens of thousands of mid-market companies
FAQ
Is Make free? Yes — free plan with no time limit and no credit card required. Is Make the same as Integromat? Make is the rebrand of Integromat (acquired by Celonis). Does Make support AI agents? Yes — native AI Agents are part of the platform in 2026. How many integrations? 2,000+ apps and growing.
tl;dr:
Make is the visual AI automation platform — 2,000+ integrations, AI Agents, free plan. The most-used no-code automation tool for ops, marketing, and RevOps teams.
Related
Looking for more options? Browse the Business Process Automation directory or read our best AI process automation tools listicle. Make.com is also tracked on Crunchbase.
Why Use Make.com
FAQ
Editorial Review
Our take on Make.com.
Make.com is a visual workflow automation platform that lets you build multi-app integrations and AI agents without code.
What works
- 2,000+ app integrations with active expansion
- Intuitive visual builder; easy to test and iterate
- Freemium tier lets you validate before paying
What doesn't
- UI becomes unwieldy on complex multi-step workflows
- Pricing jumps quickly for high execution volumes
Make.com handles workflow automation across 2,000+ apps using a drag-and-drop visual editor. You chain together actions—pull data from Salesforce, transform it, send it to Slack—without touching code. The interface feels intuitive if you've used Zapier or similar tools; the builder shows exactly what each step does, and you can test as you go. It covers common patterns well: database syncs, notification chains, conditional logic.
The AI agent piece is newer territory for the platform. You can set up autonomous agents that handle repetitive tasks across your app stack, which moves beyond pure integration into something closer to workflow orchestration. The freemium model means you can explore a single workflow before committing, though production-level work typically requires a paid tier.
Where Make.com feels strongest is breadth—the app library is genuinely large, so odds are your tools talk to it. Where it gets rough: the interface can feel cluttered once workflows get complex, error messages sometimes lack clarity, and pricing scales steeply if you run high-volume scenarios. It's solid for small teams automating repetitive work or connecting SaaS apps, less ideal if you need deep custom logic or real-time performance at scale.
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