Make Automation That Handles Real Complexity. Not Just Simple Triggers.

Make sits between Zapier's ease-of-use and n8n's technical power. It offers a visual canvas that non-developers can understand, while supporting data transformation, advanced routing, and custom HTTP calls that Zapier can't handle. Pricing is operations-based rather than task-based — making it dramatically more cost-effective for high-volume DTC brands processing thousands of orders per day.

Popular Make projects include: real-time inventory sync between Shopify and multiple warehouse systems, order-level profitability calculations that push data to finance dashboards, automated influencer performance reporting pulling from affiliate platforms and Shopify, and multi-channel customer communication workflows triggered by subscription status changes in ReCharge or Skio.

Yes — Make's HTTP module connects directly to OpenAI, Anthropic, and Gemini APIs. We build scenarios where AI models process customer feedback, generate product descriptions from structured data, classify support tickets, or draft personalised email responses. The AI step sits inside a larger Make scenario alongside data lookup, decision routing, and system updates.

We set up error notification alerts for every scenario, establish a monthly review cadence to check execution logs, and proactively update scenarios when connected app APIs change. Clients on our automation retainer get same-day response for critical workflow failures and quarterly automation strategy sessions to identify new opportunities.

Make Enterprise supports dedicated teams, custom user roles, high-priority support, SOC 2-compliant data handling, and enterprise SLAs. For DTC brands processing 50,000+ orders/month with complex multi-system integrations, Make Enterprise combined with our architecture gives you automation reliability comparable to custom-built systems at a fraction of the cost.