Make

What it does

Make takes in data from connected apps, webhooks, APIs, and AI models, and produces automated workflows (called scenarios) and AI agents that move and transform that data between tools. Users can build by prompting, by dragging and dropping modules in a visual builder, or from an AI chat such as Claude or ChatGPT through its MCP server. Output is data sent to other apps, plus execution logs and analytics showing what ran.

Teams use Make to connect business systems like CRMs, spreadsheets, email, and data warehouses without writing code, adding JavaScript or Python where custom logic is needed. Distinctive features include observability of the whole stack, AI agents where users set goals, tools, and limits and see the reasoning, and governance controls such as role-based access and audit logs.

Make suits teams from startups to large enterprises that want visual, non-developer automation with optional code. A free plan with 1,000 credits per month is available without a card. Paid tiers add more active scenarios and execution control. Limitations: usage is metered in credits, so complex scenarios consume more, and enterprise features require custom sales engagement.

What it can do

• Visual drag-and-drop workflow builder for scenarios
• Build automations by prompting an AI or from an AI chat via MCP server
• AI agents with goals, tools, limits, and visible reasoning
• Custom JavaScript or Python code within scenarios
• Observability and real-time execution monitoring
• Governance with role-based access, audit logs, and analytics

Works with

• OpenAI API
• HubSpot CRM
• monday.com
• NetSuite
• Salesforce
• Slack
• Canva
• Perplexity AI
• DeepSeek AI
• Pipedrive CRM

Example workflows

Sync new form leads into a CRM and spreadsheet

Illustrative example. Input: a Facebook Lead Ads submission. Steps: a trigger receives the lead, a router filters by region, and modules create a HubSpot contact and append a row to Google Sheets. Output: the lead appears in both HubSpot and the sheet.

Summarize an email with an AI model and log it to Notion

Illustrative example. Input: an incoming Gmail message. Steps: the scenario reads the email, sends its text to an AI model such as OpenAI, and writes the summary to a Notion database. Output: a Notion page containing the summary, with credits consumed per module action.

Before you choose

• Credit use depends on the modules and AI services in a scenario; complex runs consume more credits.
• Scheduling limits, governance and enterprise connectors vary by plan.
• Use execution logs and test inputs to review an automation before enabling consequential actions.

Listed under

• Operations
• Workflow automation
• AI agents
• Business operations
• Developers
• Enterprise
• Integrations
• IT teams

Get started

A free plan includes 1,000 credits per month with no time limit.

1. Create a free account at make.com/register; no credit card is required.
2. Connect the apps you need (for example Gmail, Google Sheets, or Slack) through the standard integration connections.
3. Build a first scenario by dragging modules into the visual builder or describing the process to an AI, then run it and review the execution log.

Free includes 1,000 credits per month. Core, Pro and Teams prices depend on credit allowance and monthly or annual billing; Enterprise has custom terms. Model-provider and AI-module charges can differ from standard module actions.

Source: make.com/pricing, checked 29 Oct 2026. Prices can change; check before you buy.

Sources for this overview

Product pages, documentation, and pricing checked 29 Oct 2026. Each source supports part of the overview; availability and prices can change.

• AI Workflow Automation Software & Tools | Make ↗www.make.com
• Pricing & Subscription Packages | Make ↗www.make.com

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make.com: product, pricing and policy pages

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knowledge_base

Last checked 29 Oct 2026. Every field keeps its source and date; unknown means we couldn’t confirm it.