Copying between systems
Someone re-keying orders, leads or tickets from one tool into another every single day.
[ AI & Automation / n8n & Workflow Automation ]
Automate the work nobody should be doing by hand.
Every business has someone moving data between two systems that should already talk to each other. That work is repetitive, error-prone, and almost always automatable in days rather than months.
Usually days, not months · Self-hosted option · Fixed scope
Daysnot months, to live
Self-hostor cloud, your choice
Monitoredwith failure alerts
You ownthe workflows
[ What to automate ]
The work worth removing first.
The best candidates are boring, frequent and rule-based. If a person follows a written procedure to do it, it can probably be automated.
Manual reporting
A weekly spreadsheet assembled by hand from four dashboards, taking half a day every time.
Tools that do not integrate
Two systems with no native connector, bridged by a person and a clipboard.
Slow internal handoffs
Requests waiting in an inbox because nothing routes or notifies automatically.
Data entered twice
The same customer record maintained in three places, diverging a little more each week.
Things silently not happening
A follow-up nobody sent because it depended on a person remembering.
[ How it works ]
Map, build, monitor.
01 — Day 1-2
Map
The current process written out step by step, with volume and error rate. Some steps get deleted rather than automated, which is the cheapest possible improvement.
02 — Day 3-8
Build
Workflows built and tested against real data, with error handling, retries and a clear path for the cases that genuinely need a human.
03 — Live
Monitor
Failure alerting so a broken workflow surfaces immediately, plus documentation your team can use to change it themselves.
[ What actually changes ]
What gets built.
n8n by default, since self-hosting keeps your data in your infrastructure and removes per-operation pricing. Make.com is a fine alternative if you prefer fully managed.
Automation
- System integrations — CRM, billing, support, email, storage and internal databases.
- Custom API connections — for the internal tools no off-the-shelf connector supports.
- Scheduled and event-driven jobs — triggered by time, webhook or a change in a source system.
- Data transformation — formats reconciled between systems that disagree about everything.
- AI steps where they help — classification, extraction and drafting inside the workflow.
Running unattended
- Error handling and retries — transient failures absorbed rather than silently dropping records.
- Failure alerting — you find out a workflow broke today, not at the end of the month.
- Human-in-the-loop steps — approval gates where a wrong automated action would be expensive.
- Self-hosted deployment — on your infrastructure, so sensitive data never leaves it.
- Documentation and handover — so your team can adjust workflows without calling me back.
[ Example engagement ]
Fifteen hours a week returned to the team.
Orders re-keyed by hand from a marketplace into an ERP, plus a weekly report assembled manually from three systems. Both replaced with monitored workflows.
Illustrative example of a typical engagement. Figures vary with the state of your systems and are not a guarantee of a specific outcome.
15 hrsper week saved
8 daysto build and launch
0records lost since
2systems newly connected
[ Free · 30 minutes ]
Tell me what you do by hand.
Describe the repetitive process and roughly how often it happens. I will tell you whether it is worth automating and what it would cost, honestly.
[ Pricing ]
Pricing that fits your budget.
Tell me the number you have to work with. I'll tell you honestly what's achievable within it — and if it isn't enough, I'll say so before we start rather than halfway through.
Fixed project price
Scope agreed in writing, price agreed in writing, before any work starts. No hourly creep and no invoice you haven't already approved.
Monthly retainer
For ongoing work — maintenance, monitoring, updates and small changes. Month to month, cancel whenever, no minimum term.
Hourly for small jobs
For a single bug or a short task where writing a full scope would cost more than simply doing the work.
Budget too tight for the whole thing? I'll often suggest doing the highest-value part first and the rest later, rather than doing all of it badly.
[ Questions ]
Common questions.
n8n or Make.com?
n8n if you want to self-host, keep data in your own infrastructure and avoid per-operation pricing at volume. Make.com if you would rather someone else run the platform. Both are good, and volume usually decides it.
Do we need to host it ourselves?
No, but it is often worth it. Self-hosted n8n runs on a small server for a fixed monthly cost regardless of volume, and sensitive data never leaves your infrastructure. I can set that up as part of the work.
What if a workflow breaks?
Failure alerting is part of every build, so you know immediately rather than discovering it weeks later. Retries handle transient failures, and anything that cannot be retried safely routes to a human.
Can it connect to our internal system?
If it has an API, yes. If it does not, there are usually options via the database or scheduled exports, though they are less elegant. I will tell you which situation you are in early.
Will this replace staff?
In my experience it removes the worst part of people's jobs rather than the jobs. The realistic outcome is that the same team stops doing data entry and gets back to work that needs judgment.
[ Related services ]
Related automation work.
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[ Let's talk ]
Tell me what you're building.
Describe it in a few lines and you'll get a straight answer on scope, cost and timeline — same working day, from the person who'd actually build it.