Workflow Automation
Workflow Automation With n8n and Make
We design and ship production workflow automation on n8n and Make that connects your tools, removes repetitive manual steps, and runs reliably at scale. Our team has shipped systems handling 50K+ daily executions across fintech and marketplace operations. You get automations that are versioned, monitored, and documented, not brittle one-off scripts that break the first time an API changes.
What Workflow Automation With n8n and Make Actually Is
Workflow automation connects the apps and APIs you already use so data moves and actions fire without a person clicking through each step. n8n is an open-source, self-hostable platform that gives you full control over data, custom code nodes, and no per-operation pricing surprises. Make is a hosted visual builder that ships fast for marketing, sales, and ops teams. We pick the tool that fits your data sensitivity, volume, and budget, and we are honest when neither is the right answer.
What We Deliver With n8n and Make Automation
We deliver complete workflows: trigger to action, with error handling, retries, dead-letter queues, and alerting when something fails. That includes custom integrations for tools without native connectors, AI steps for classification, extraction, and drafting, and self-hosted n8n on your infrastructure when compliance requires it. Every workflow ships with documentation and a runbook so your team can operate it without us.
How We Work: From Audit to Production Automation
We start by mapping your current process, the systems involved, and where time is actually lost, then we estimate hours saved before building anything. We prototype the highest-value workflow first, test it against real data, and dry-run writes behind a flag before going live. We instrument every automation with logging and monitoring so you see run counts, failure rates, and latency, not a black box.
n8n vs Make: Choosing the Right Automation Platform
Choose n8n when you need data residency, complex branching, custom code, high volume, or want to avoid per-operation costs at scale. Choose Make when speed to launch and a large library of prebuilt connectors matter more than self-hosting. Many teams run both: Make for quick business workflows and a self-hosted n8n for sensitive or high-throughput pipelines. We help you decide based on numbers, not preference.
How it works
- 01
Audit
We map your processes and systems, quantify manual hours, and rank automations by ROI so the first build pays for itself.
- 02
Build
We construct the workflow in n8n or Make with error handling, retries, and AI steps, then test against real data before any write goes live.
- 03
Launch
We deploy behind a flag, dry-run writes, then cut over with monitoring and alerts already in place.
- 04
Handover
We document every workflow and deliver a runbook so your team operates and extends the automations independently.
What you get
- Manual, repetitive tasks removed from your team's day, with hours saved measured before and after
- Workflows that survive API changes through retries, error handling, and dead-letter queues
- Self-hosted n8n on your own infrastructure when data residency or compliance requires it
- Custom integrations for tools that lack native n8n or Make connectors
- Monitoring and alerting on every automation so failures surface in minutes, not weeks
- Documentation and runbooks that let your team operate and extend workflows without us
Questions
Should we use n8n or Make for our workflows?
It depends on your data sensitivity, volume, and budget. n8n suits self-hosting, custom code, and high-volume pipelines without per-operation costs, while Make ships fast with a large connector library for business teams. We assess your specific case and often recommend running both for different jobs.
Can you self-host n8n on our own infrastructure?
Yes. We deploy and configure self-hosted n8n on your servers or cloud account when data residency, compliance, or cost at scale require it. You keep full control of your data and avoid per-operation pricing.
What happens when an external API changes or fails?
We build every workflow with retries, error handling, and dead-letter queues so transient failures recover automatically and permanent ones are isolated. Monitoring and alerts notify your team within minutes so issues are fixed before they compound.
Will our team be able to maintain the automations?
Yes. We deliver documentation and a runbook for every workflow, and we favor clear, visual builds over hidden complexity. Most teams operate and extend their automations independently after handover, and we offer ongoing support when you want it.
How do you measure whether the automation is worth it?
We quantify the manual hours a process consumes during the audit, then rank automations by return on investment before building. After launch, monitoring shows run counts and time saved so you can verify the impact in real numbers.
