Make

What does Make do?

Make handles visual automation by letting teams connect apps, data sources, and AI models into workflows they can build, run, and adjust without heavy coding. Its visual builder, routers and filters, and flow-control tools help users map logic while AI features such as Make AI Agents and Maia by Make add assistance for building and adapting automations. The platform also supports custom apps and HTTP/webhooks for systems that need more tailored connections. At scale, Make says it serves 400,000 organizations across 200+ countries and territories, with a library of 3,000+ pre-built apps and 350+ Makers behind the platform. Customer stories include FINN, Perk, Celonis, and FranklinCovey. Security pages note GDPR alignment plus SOC 2 Type II and SOC 3 audits, and the hosting environment uses private-network access with AWS infrastructure. Make also advertises a flexible API for custom systems and integrations.

Why use Make?

• Its visual-first builder makes complex workflows easier to understand, change, and troubleshoot than opaque script-based automations.
• The combination of AI agents, AI apps, and orchestration tools lets teams add AI without losing control over the workflow.
• A library of 3,000+ pre-built apps reduces integration setup time for common business systems.
• Enterprise security features, SSO, and audited compliance support teams with stricter governance needs.
• The flexible API and custom app support help teams extend automation beyond standard connectors.

Who is Make for?

• Operations teams who need to connect systems and reduce manual handoffs.
• RevOps and sales teams who want app-connected workflows for lead and pipeline processes.
• IT and platform teams who need governed automation with custom integrations and access control.
• HR and people teams who want to streamline recurring workflows across tools.
• Product and business teams who want to prototype AI-assisted automations without heavy coding.

What are Make's key features?

What does Make integrate with?

• OpenAI
• HubSpot CRM
• Monday.com
• NetSuite
• Salesforce
• Slack
• Canva
• Perplexity AI
• DeepSeek AI
• Airtable
• Google Gemini AI
• Facebook Lead Ads
• Anthropic Claude
• Vapi
• Google Sheets
• Gmail
• Telegram Bot
• Google Drive
• Pinterest
• Notion
• Google Docs
• Google Calendar
• Facebook Pages
• Microsoft 365 Email (Outlook)
• Instagram for Business (Facebook login)
• Tally
• Make AI Agents
• WordPress
• Google Forms
• Dropbox

What are Make's use cases?

How does Make work?

1. Connect your first app in the Visual Builder, then map the trigger that starts the workflow. Use 3,000+ Verified Apps or HTTP/Webhooks when the system you need is custom.
2. Add the next steps with Visual orchestration and Flow control. Route records, branch by conditions, and use Data manipulation to clean fields before they reach downstream tools.
3. Bring in AI where it helps. Enable Automation with AI or Make AI Agents to summarize, classify, or draft responses inside the same scenario.
4. Test runs in Observability, then inspect logs and search results to spot broken mappings or slow steps. Use Notes and Visual troubleshooting to document changes for teammates.
5. Publish the scenario, then manage access with Controls and team roles. Reuse approved logic through the Library of Agents or shared templates as workflows expand.

How much does Make cost?

Frequently asked questions