Automation & AI · Visual automation
Make
integration & API.
Make (Integromat) integrations and migrations to more reliable architectures.
M What is Make?
Make in plain English.
Make (formerly Integromat) is a visual automation platform similar to Zapier but with more powerful flow control — branching, iteration, error handling, and complex data transformation. Popular with teams that have outgrown Zapier's simplicity.
What businesses use it for
Common Make
use cases.
- 01 Complex automations beyond what Zapier can handle
- 02 Data transformation and aggregation workflows
- 03 Multi-step approval and routing flows
- 04 API orchestration without writing code
Why custom?
Beyond the default Make integrations.
Make (formerly Integromat) is more powerful than Zapier for complex flows but less forgiving when it breaks. We build Make integrations and, when it makes sense, migrate teams off Make onto custom code where reliability matters.
What we build with Make
Common Make integrations.
Custom Make scenarios for complex workflows
Migration from Make to custom code where reliability matters
Hybrid architectures
How we build
Production-grade.
Not Zapier in a trench coat.
Every Make integration we ship handles failure properly: idempotent jobs, retry logic, dead-letter queues for unrecoverable cases, and observability so you can see exactly where data is at any moment.
Tested
Real test suite, real edge cases. Not just "it worked once."
Observable
You see what is happening — events logged, errors surfaced.
Maintainable
Documented, version-controlled, handed over properly.
More Automation & AI
Other automation & ai platforms we connect.
Z Zapier
Zapier integrations and the moments when custom code is the cheaper answer.
N n8n
n8n integrations and self-hosted automation for businesses that want control over their data.
OpenAI
OpenAI integrations engineered for production — not demo-ware that breaks at the second edge case.
A Anthropic
Anthropic Claude integrations for AI workloads where reliability and reasoning matter.
FAQ
Common questions about Make integration.
Make vs Zapier — which is better?
Make is more powerful for complex flows (branching, iteration, error handling). Zapier is simpler and has more apps. For most basic automation, Zapier is fine. For complex flows or cost concerns at scale, Make often wins.
Related reading
Thinking we’ve published on this kind of work.
Agentive AI in Australian legal practice: what's possible, what's gated, and what isn't yet
A working overview of where autonomous AI agents fit in Australian law-firm operations today — the frameworks (OpenClaw, Hermes Agent), the model question, the LEAP API surface, and the licensing and regulatory constraints that shape what can actually be built.
AI digital marketing agencies in Adelaide: where AI actually helps (and where it doesn't, yet)
An honest look at what an AI-led digital agency in Adelaide can and can't do for Australian businesses right now — and the questions to ask before you sign anything.
What AI actually costs to run in production
AI demos are cheap. Production is not. Where the money actually goes when you ship an AI feature, and how to size the engineering investment around the model.
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