Make vs Zapier AI: pricing, features and which to choose

Make is a visual workflow automation service operated by Celonis. Formerly Integromat, it was acquired in October 2020 and rebranded in February 2022. Make says it serves more than 400,000 organizations across over 200 countries as a 350-plus-person Celonis business unit. Its central object is the scenario, which connects applications, transforms data, and delivers results. Operations teams, agencies, and technical users can use scenarios for branching processes that require more control than basic trigger-action tools. Workflows may begin with a row, webhook, or schedule, then use modules, routers, filters, and transformations to process records. Make is hosted on AWS in Europe and North America, so customers use its managed service instead of installing an open-source server. Teams should evaluate credit consumption, especially for complex or repeated workflows.

A typical Make workflow starts with a trigger, such as a new row, webhook, or scheduled event, then passes data through modules that read, search, create, update, or delete records. Routers split a scenario into paths, filters apply conditions, and built-in tools transform or aggregate data before a later module writes the result to another service. Make lists more than 3,500 standard apps, custom apps, enterprise apps, an on-premises agent, and more than 300 API endpoints. Users can also issue custom API calls and connect services through OAuth or tokens. The visual canvas exposes each step and its execution history, which makes multi-branch workflows easier to inspect than a chain of opaque actions.

Make's main limitation is metered usage: a workflow with many modules, records, or AI operations can consume credits faster than a short Zapier automation. Zapier offers a more approachable task-based model, while Make exposes deeper routing and data handling at lower entry pricing for the listed 10,000-credit tier. n8n is the stronger choice for teams seeking source-available deployment options, whereas Make keeps hosting under its service. Power Automate is more compelling for organizations standardized on Microsoft's identity and business suite. Pick Make for visual, multi-step orchestration with detailed branching and broad app coverage, especially when a team accepts credit-based billing and hosted execution. Before committing, estimate records, modules, schedules, and AI calls against monthly credits, then select a tier whose controls match the team's operating needs.

Zapier AI is the artificial intelligence layer within Zapier’s automation platform, from the workflow company founded in 2011. Zapier advertises more than 9,000 apps and 66,000 triggers and actions. The offering includes AI by Zapier steps, embedded agents, chatbots, and MCP connections for assistants such as Claude, ChatGPT, Cursor, and Gemini. Governance features include model policies, PII checks, prompt injection checks, toxicity checks, audit logs, SSO, SCIM, and model opt-out on Enterprise. Zapier also reports more than 593 million AI tasks automated, though it does not publish a separate AI user count. Its practical role is connecting model decisions with app credentials, approvals, retries, records, and repeatable business workflows. AI by Zapier supports OpenAI, Anthropic, Google Gemini, Azure OpenAI, and Amazon Bedrock through built-in connections or customer accounts.

A typical workflow starts with a trigger in a Zap, followed by an AI by Zapier step containing instructions, mapped inputs, and optional structured output fields. The step can summarize, classify, extract, write, or analyze information. Standard handles simple prompts without tools, while Advanced and Premium can use connected app actions and knowledge sources. Returned fields can flow into Gmail, Salesforce, Slack, or another connected application. Users can select Zapier models or connect accounts from OpenAI, Anthropic, Google Gemini, Azure OpenAI, or Amazon Bedrock. Administrators can restrict available models, tools, and agentic behavior, while per-tool approvals can pause sensitive actions before execution. AI by Zapier offers templates for summarizing, writing, classifying, and extracting information when configuring prompts.

Zapier AI’s main tradeoff is usage complexity because ordinary actions, model multipliers, tool calls, and account limits draw from shared capacity. Outputs can vary, so sensitive writes may need approvals or human review. Make, n8n, and Microsoft Copilot Studio are direct competitors for workflow automation with AI capabilities. Zapier emphasizes a broad app catalog, managed authentication, retries, rate limits, auditability, and business-user simplicity, while technical teams may prefer more granular control or self-hosting elsewhere. ChatGPT and Claude are direct model-native alternatives for conversation-first work, but Zapier adds connected credentials and operational actions. Choose Zapier for governed SaaS automation; choose Make, n8n, or Copilot Studio when their control model fits better. It is best for teams that want hosted, auditable AI workflows across business apps.