Big automations with a lot of moving parts

When a workflow crosses three systems, two teams and a supplier, a ten-line script isn’t going to do it. We engineer the whole thing: integrations, error handling, monitoring, the lot.

When a “small script” won’t cut it

Large automation projects are where we spend most of our time. They look like this:

  • ✓Several systems need to stay in sync ‐ your CRM, accounting, logistics provider and e-commerce store, for example.
  • ✓Data flows across APIs, webhooks, databases and legacy file drops.
  • ✓Workflows have decision points, branches and occasional human approval.
  • ✓If something breaks at 3am, someone needs to know before the customer does.

We design these as proper systems, not as a pile of scripts. That means thinking about failure modes up front, monitoring from day one, and writing code your future team can actually maintain.

What a large automation usually includes

  • ●Integration layer ‐ talking to the APIs, databases, SFTP drops and queues your workflow depends on.
  • ●Orchestration ‐ scheduling, event handling, retries, back-off, idempotency.
  • ●Observability ‐ structured logs, metrics, alerting when something stalls or fails.
  • ●Operational tooling ‐ admin views to re-run, replay or patch up data when reality misbehaves.
  • ●Deployment ‐ hosted in your cloud, on-prem or ours, with proper release hygiene.

Example shapes of work

These aren’t case studies ‐ they’re patterns we see repeatedly across Scottish businesses.

Order-to-ship pipeline

E-commerce order lands, stock is checked, a pick list is generated, the courier is booked via API, the customer is emailed a tracking link, and the accounting system gets an invoice. Hundreds a day, no one touches it.

Member onboarding

A signup on the website triggers account creation in four systems, a welcome sequence, a direct-debit mandate, and a slot in the finance team’s reconciliation report.

Overnight data reconciliation

Every night, pull data from three systems, compare, surface discrepancies, and email the ops team a list of everything that needs a human eye ‐ before the day starts.

How we work with you

No six-month discovery phase. No 40-page requirements document. We find one painful workflow, automate it, and put it in your hands.

  1. Step 1

    Discover

    A 30-minute call to understand the task, the data, and where the hours go.

  2. Step 2

    Prototype

    Within a week, a working script or tool handling a real sample of your data.

  3. Step 3

    Deploy

    We schedule it, host it, or install it in your environment ‐ whichever fits.

  4. Step 4

    Support

    Automations break when the world changes. We keep yours running.

Spending hours on something a script could do?

Book a free 30-minute discovery call. We’ll look at one workflow together and tell you honestly whether automating it is worth it.

Book a discovery call See what we build