ROOTCR HU

Process automation: where someone copies the same thing every day

In short: Process automation means the manual work repeated daily in the company — copying data between systems, assembling reports, reconciling invoices and orders — is done by code instead of a person. RootCR connects systems (web store, invoicing, inventory, spreadsheets, email) and builds scheduled processing, from $50 per hour or on a fixed-price quote. The payback is calculable: a task that eats half an hour a day is more than 120 working hours a year.

How do you recognise that something should be automated?

Three symptoms, from practice:

  1. The "copy-paste" colleague. Every morning someone opens two systems and moves data from one to the other. Orders from the store into the invoicing system. Stock from a spreadsheet into the admin. Rows from emails into a spreadsheet. That is not a job description, that is a missing script.
  2. The month-end report that takes days. Anything assembled by hand from several sources is not just slow — it also makes mistakes. An automated report writes itself, always the same way.
  3. The "we only found out two weeks later" failure. An order got stuck, an invoice never went out, a disk filled up — and nobody said a word. Half of automation is not doing the work but the alerting: if something jams, you get an email immediately, instead of hearing it from the customer.

What exactly do I build?

  • System connections. Store ↔ invoicing, store ↔ inventory, form ↔ CRM ↔ email, bank ↔ accounting export. If your system has an interface or an API, it can be connected; if there is no API, there is still a way: scheduled export-import, or driving the interface.
  • Scheduled processing. Overnight price updates, stock sync, weekly reports, automated backups. Written once, running under supervision — this is what it looks like in production at the tool that manages a full catalogue, which replaced hours of daily manual work.
  • Language-model-based processing — where it genuinely pays off. Classifying incoming email, structuring free-text orders, extracting data from documents. Not magic: with a verification step, logging, and a human approval point wherever being wrong is expensive.
  • Alerting and logging. Every automation logs, and speaks up on failure. That is the difference between "I wrote a script" and "a system that can be kept running".

What does it cost, and how do you calculate the payback?

For smaller tasks, hourly billing: $50 per hour (net), within a budget agreed in advance. For larger, well-bounded tasks, a fixed-price quote.

The payback calculation is simple: (minutes saved per day × working days × the colleague's hourly wage cost) minus the cost of development. A task taking 30 minutes a day is roughly 125 hours of wages a year — most automations turn positive within a time measured in months. In the first conversation we run this calculation together with your numbers; the formula and a worked example are here: half an hour of daily copy-paste = 125 hours a year.

What does this connect to?

Automation rarely stands alone. If the incoming data comes from a form or a page, that is a custom website; if it comes from an order, it is the post-order stretch of the web store. The same project — just the part a person has been standing in for.

Frequently asked questions

Our system is very old, or very unusual. Does this still work?

Usually yes. As a first step I look at what connection points it has (API, export, database, interface), and I tell you honestly if it is not worth it.

What happens when an automation fails?

It logs and it alerts. Critical steps — money, invoices, outgoing communication — get a human approval point, until you trust it.

Will I be dependent on you?

No. The code, the documentation and every access credential are yours; I build on established technology so any developer can take it over.

How soon do results show?

A well-bounded connection is typically a matter of days, a process spanning several systems a matter of weeks. The first step is always the most painful, most measurable task — so the payback shows at the start of the project, not at the end.

Updated: September 11, 2026

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