Workflow automation
The repeated manual work: order ops, reporting, data shuffling between tools, built as reliable pipelines on n8n, Make or Zapier.
Stop 02 · Get chosen
The work your team repeats every week, running itself.
Workflow automation and AI agents for the work your team repeats every week: order operations, reporting, follow-ups, inbox triage, all turned into systems that run whether anyone is at a desk or not. Built on the tools you already pay for, or custom code where they fall short.
n8n · workflow: new-orderlive demo
runs today: 480 silent failures
Order in
0.4s ✓
Enrich
0.4s ✓
Draft reply
0.4s ✓
Human check
approved ✓
CRM + send
0.4s ✓
✓
Auto-retried, recovered, logged. We got the alert. Your customers got their order confirmations.
Drawn demo. Real method.
0
repeat incidents since we shipped the guard rails that watch our own automations. Read the post-mortem behind that number
What this covers
Everything on this stop.
AI agents
Systems that read, decide and act: triaging inboxes, drafting responses, enriching leads, always with human checkpoints where mistakes would cost you.
Voice & chat AI
AI receptionists and chat assistants that answer, qualify and book around the clock. It's the highest-traction automation for service businesses right now.
GoHighLevel builds
Full GHL system builds: pipelines, workflows, calendars and snapshots, configured around how you actually sell, not the template.
Integrations
Making the tools you already own talk to each other, including the ones without an official connection.
Automation care
APIs change and workflows rot. A monthly care plan with failure alerts and fixes is how automations survive past month three.
Why an implementation partner
Most AI projects fail. The partnered ones mostly don't.
MIT research on enterprise AI adoption found 95% of internal AI pilots produce no measurable return, while implementations done with an external partner succeed roughly twice as often as internal builds. The difference isn't the tools; it's scoping one real process, building the boring reliability around it, and measuring before and after. That's the whole job.
Read how we scope a first automationMap one process
We pick a single, bounded, measurable process, not “adopt AI”. Something with a before and after you can inspect.
Build + test
The workflow, its error handling, and the alerts for when the world changes underneath it.
Prove it
It runs alongside the manual process until the numbers show it's trustworthy. Then it takes over.
Keep it alive
Care plan: monitoring, failure alerts, fixes when connected tools change their APIs. Or a runbook handover if you'd rather own it.
How it works
Four steps, in order.
Map one process
We pick a single, bounded, measurable process, not “adopt AI”. Something with a before and after you can inspect.
Build + test
The workflow, its error handling, and the alerts for when the world changes underneath it.
Prove it
It runs alongside the manual process until the numbers show it's trustworthy. Then it takes over.
Keep it alive
Care plan: monitoring, failure alerts, fixes when connected tools change their APIs. Or a runbook handover if you'd rather own it.
You get
1–4 weeks typical per processProcess mappingWorking automationError handling + failure alertsBefore/after measurementRunbook or care plan
Engagements are a fixed-scope build with the price agreed before work starts, plus an optional monthly care plan afterwards. Every project begins with a free thirty-minute call.
System Routes handled our Shopify to WooCommerce migration smoothly and set up the automations we needed without disrupting our operations. They also helped bring our ad spend down while keeping our order volume steady. They were reliable, easy to communicate with, and focused on getting practical results. I'd happily recommend them.
Fair questions
Asked before, answered here.
n8n, Make, Zapier or GoHighLevel: which one should we use?
Whichever fits the process and what you already pay for. Zapier for simple glue, Make and n8n for heavier logic at lower running cost, GoHighLevel when the automation lives around sales and follow-up, custom code when reliability matters more than speed of assembly. We're not a reseller for any of them, so the recommendation isn't a commission. Compare n8n, Make and Zapier on cost.
What should we automate first?
The thing your team does every week that follows rules and touches revenue: order processing, lead follow-up, reporting. Not the clever idea; the boring one with a measurable cost. If we can't name the number an automation saves, we tell you not to build it.
What happens when an automation breaks?
Every build ships with failure alerting, because a broken workflow that fails silently is worse than no workflow. Under a care plan we're the ones who get woken up, and connected-tool API changes are our problem, not yours. How we build and run n8n.
Do we need to be an 'AI company' for this to work?
No, and be suspicious of anyone who says otherwise. Most valuable automations are unglamorous plumbing. AI goes where it earns its place: reading messy input, drafting text, making judgment calls with a human checkpoint. Not everywhere.
Check it yourself
Don't take our word for any of it.
No testimonials written by us, no logos you can't check. Everything we claim on this page is something you can click and verify yourself, right now.
Price fixed before work starts
Your repository from day one
Working demo every Friday
30 days of fixes after launch, free
Book a call
Pick a time that suits you
Thirty minutes, no pitch, and an honest answer at the end of it. The calendar is already showing your timezone.
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Real availability, already in your timezone.
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