Make0 Mixed

GILD Review

GILD's call and the buying facts behind it.

From GILD research

Should we adopt Make?

Will Make's per-module credits stay cheaper than Zapier once your scenarios loop and poll?

30-Second TakePick Make if operations teams need routing, loops and error recovery without code, cheaper per step than Zapier.
Best fitOperations and business teams building multi-step processes across many SaaS apps, with a named owner for each shared scenario.GILD Review
Consider another workflown8n suits automations that must run on your own infrastructure. Power Automate suits processes that live inside Microsoft 365, where existing licenses already cover them.GILD Review

Drawn from 72 sources and 3 operator insights

GILD analysis

Make Review

Choose Make when operations and business teams need routing, loops, and error recovery without code, at a lower price per step than Zapier. Celonis owns Make, which now adds AI agents and an MCP server for assistants such as Claude and ChatGPT. Most module runs use a credit, trigger checks included, while routers and error handlers use none, so polling schedules and loops set the bill.

Workflow Automation
AI Costs

The decision

Best fit: Operations and business teams building multi-step processes across many SaaS apps, with a named owner for each shared scenario.
Consider another workflow: n8n suits automations that must run on your own infrastructure. Power Automate suits processes that live inside Microsoft 365, where existing licenses already cover them.
Adoption condition: A credit budget sized on module runs, and error handling on every scenario that writes to a system of record. Each shared scenario and connection has a named owner.

Basis: Make documentation and pricing, and builders' own measurements, including one evaluator's scan of 106 active scenarios across 5 Make organizations. Pilot check: log credits per run and failed runs for your busiest scenarios over two weeks.

Buying & deployment factsWhat business and product leaders should verify before rolling it out across teams.

How you buy it

US$12

Core with 10,000 credits, a month billed annually in the US. Free gives 1,000 and 2 active scenarios.

Source 1, Make, Pricing: Pricing Source 5, help.make.com, Help Center full text (Free plan scenario limit): Help Center full text (Free plan scenario limit)

Details

A plan plus a monthly credit tier, priced in US dollars by country. Free: 1,000 credits a month and 2 active scenarios. For US buyers, Core, Pro, and Teams start at 10,000 credits a month for US$12, US$21, and US$38 billed annually, or US$16, US$28, and US$51 billed monthly; buyers in some other countries, such as the UK and Germany, see US$11, US$20, and US$36 annually. Core scales to 300,000 credits a month, Pro and Teams to 8 million, and Enterprise is quoted.

Cost drivers

1 credit per step

Each module operation and trigger check uses one. Extra credits cost 25% more.

Source 2, Make, Credits: Credits Source 6, Make, Operations: Operations Source 7, help.make.com, How features use credits: How features use credits Source 8, Make, Extra credits: Extra credits

Details

Each module operation uses 1 credit for apps without AI, once per bundle it processes, and each trigger check uses 1. Routers and error handlers use none. Make's AI Provider adds credits by input and output tokens, the Code app uses 2 credits per second, and extra credits cost 25% more than plan credits.

Where it runs

Make's cloud

Hosted on AWS in a US or EU data zone, with no self-hosted edition.

Source 9, Make, Security and compliance: Security and compliance Source 3, Make, AI providers and data zones: AI providers and data zones Source 10, Make, On-premise agent: On-premise agent Source 11, Make, Make MCP server: Make MCP server

Details

Make's hosted cloud on AWS, in the US1, US2, EU1, or EU2 data zone, with no self-hosted edition. Enterprise runs in a separate AWS environment with an on-premise agent for local systems. Claude and ChatGPT reach scenarios through the Make MCP server.

What to verify

Enterprise only

Audit logs, SSO, and team credit limits. Some AI models process in the US whatever the zone.

Source 4, Make, Audit logs: Audit logs Source 12, help.make.com, Single Sign-on: Single Sign-on Source 13, help.make.com, Custom roles: Custom roles Source 14, help.make.com, Two-factor authentication enforcement: Two-factor authentication enforcement Source 15, Make, Credits per team management: Credits per team management Source 3, Make, AI providers and data zones: AI providers and data zones Source 16, Make, Introduction to Make AI Agent (New): Introduction to Make AI Agent (New)

Details

Audit logs, SSO, custom roles, 2FA enforcement, and team credit limits are Enterprise only. Maia and OpenAI models in Make's AI Provider always process in the US, whatever the data zone. Make AI Agent (New) has been in open beta since February 2, 2026, and Make states its functionality and pricing may change.