Make and n8n are common candidates for multi-step business automation and AI-assisted workflows. Treat them as a shortlist, not universal winners: connector fidelity, permissions, error handling, observability, pricing, and operator skills matter more than a generic feature ranking.
Make emphasizes a visual workflow builder and offers integrations for major AI providers. That can shorten the learning curve for some non-technical teams, but production readiness still requires representative tests, error handling, monitoring, access controls, and an owner.
n8n offers cloud and self-hosted options, code steps, and agent-style integrations. Self-hosting adds infrastructure, security, upgrades, monitoring, backups, and support responsibility. It also does not keep data local when a workflow sends information to connected cloud models or services.
The platforms use different billing models. Make uses credits, with consumption depending on the module and AI feature. n8n cloud plans are based on workflow executions, while self-hosting adds infrastructure and operational costs. Model a representative production workflow in both rather than comparing headline plan prices.
Both platforms publish integrations, templates, documentation, and community resources. Verify the exact trigger, action, field mapping, authentication method, and rate limit required by your workflow; integration counts alone do not establish fit.
Build the same representative workflow in each shortlisted platform. Include normal inputs, missing data, provider errors, retries, duplicate events, approval, logs, and recovery. Compare total cost at expected volume and choose the option the responsible team can operate reliably.