AI tool · Make · Operations
Make

Make

A visual platform that connects your apps and automates multi-step workflows without custom code.

Independent overview by new Mantra · updated July 3, 2026

Category
Operations
Pricing
Free; Core $12, Pro $21, Teams $38 per mo at 10K credits (billed annually); Enterprise custom
Implementation
1-3 weeks
Adoption risk
Low
Integrates with
1,000+ apps, REST APIs, webhooks
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What Make does

Make is a workflow automation platform that lets you connect applications and build automated processes using a drag-and-drop visual editor. You map out how data should move between tools — when something happens in one app, Make triggers actions in others — without writing software. It also supports building by prompt or via API for teams that prefer a more technical approach.

The platform connects to over 3,000 pre-built app integrations, covering common business tools across sales, marketing, finance, HR, IT, and customer support. For tools not in that library, REST APIs and webhooks allow custom connections. This means most businesses can link their existing software stack without replacing anything.

Beyond simple two-step automations, Make handles branching logic — workflows that take different paths depending on conditions or data values. More recently, the platform has added AI agent capabilities, allowing automated processes to adapt based on real-time inputs rather than following a fixed script.

Key capabilities

Visual workflow builder

Workflows are constructed as visual diagrams, making it possible to see the full logic of a process at a glance rather than reading through code or configuration files.

3,000+ app integrations

Pre-built connectors cover a wide range of business applications. REST APIs and webhooks extend this to custom or internal systems.

Multi-branch workflow logic

Automations can split into different paths based on conditions, handling exceptions and variations within a single workflow rather than requiring separate automations.

AI agent automation

Make supports building AI agents that can orchestrate tasks across connected apps and adapt in real time, going beyond static rule-based automation.

Enterprise-grade security

The platform includes GDPR, SOC 2 Type II, and SOC 3 compliance, encryption, and single sign-on support for organisations with stricter security requirements.

Multiple build methods

Teams can build automations by drag-and-drop, natural language prompt, or programmatically via MCP, depending on their technical preferences.

Best for

  • Operations or IT teams that need to connect several different tools and want to see the full process laid out visually before going live
  • Businesses running repetitive, multi-step processes — such as lead routing, invoice handling, or employee onboarding — across more than one application
  • Small to mid-size organisations looking to reduce manual work without hiring developers, given the free tier and low starting price
  • Teams that need flexible branching logic, where different conditions should trigger different actions within the same workflow
  • Organisations across any industry, since Make is designed as a general-purpose platform rather than being sector-specific

Worth knowing

  • The free plan has no time limit, but operational workflows with meaningful volume will likely require a paid tier; at 10,000 credits a month Core is $12, Pro $21 and Teams $38 per month billed annually, and prices rise with credit volume, so confirm the tier fits your expected usage before committing
  • Implementation is estimated at one to three weeks, which is relatively light, but someone on your team will need to invest time learning the platform or mapping out existing processes clearly enough to automate them
  • Highly complex or heavily conditional workflows can become visually dense and harder to maintain over time — factor in who will own ongoing upkeep
  • If your processes are mostly contained within a single application that already has built-in automation features, a dedicated platform like Make may be more than you need
  • AI agent features are newer additions; if agentic automation is your primary goal rather than standard workflow automation, it is worth evaluating how mature those specific capabilities are for your use case

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