Make (formerly Integromat) is more powerful than Zapier for similar pricing. We use it for medium-complexity flows. But it has real ceilings on observability, version control, and AI workflows. Here's the honest comparison.
| Feature | Make (Integromat) | WorkflowTime |
|---|---|---|
| Visual workflow builder | Excellent. Drag-drop scenarios with branching, iterators, aggregators. | We use code. More flexible, but no visual builder for non-developers. |
| Pricing model | Per-operation pricing. Better than Zapier's per-task, but still scales with usage. | Project-based or retainer. Predictable cost regardless of execution volume. |
| AI / LLM workflows | Has OpenAI, Anthropic modules. Limited model choice; tuning is shallow. | Native. Full model choice, tuned per use case, with prompt versioning and evals. |
| Document processing | Basic via OpenAI module. No multimodal, no validation pipeline. | Multimodal LLMs with extraction validation, anomaly detection, human-in-loop. |
| Debugging and observability | Built-in run history. Hard to debug failures across many scenarios. | Full logging, structured traces, alerts on anomalies, dashboards. |
| Version control | Limited. No proper diff/PR review of scenario changes. | Git-based. PR review, environment promotion, instant rollback. |
| Code reuse across scenarios | Each scenario is its own thing. Copy-paste for reuse. | Shared modules, libraries, and DRY code. |
| Vendor lock-in | Medium. Migration is possible but tedious. | Low. You own the code. Deploy anywhere. |
When a scenario crosses ~20 modules, when you need version control, when you have multiple environments (dev/staging/prod), when AI logic needs evals and prompt versioning, or when downtime carries real cost.
Yes. We often start by replacing the brittle parts (AI steps, complex branching) and leave the simple parts in Make. Hybrid approach when it makes sense.
No. Make is the right answer for many automation needs — visual, fast to ship, no engineer required. We're the right answer when you've outgrown that.
For a portfolio of 10-20 scenarios, typically 6-12 weeks of phased migration with parallel running.
Zapier is fastest to start but most limited. Make is more powerful for the same complexity. Custom wins at scale and on AI. See our /vs/zapier/ comparison.