Integrations and Process Automation
If data lives in several tools and someone has to move it between them by hand, that work can be done by the systems themselves, reliably and without the errors that copying introduces.
The real cost of retyping
Manual data transfer rarely appears in anyone's budget. It appears as a few minutes here, a quick export there, someone checking the CRM against the spreadsheet on a Friday. Individually trivial, collectively a permanent tax on the same people you hired for something else.
The bigger cost is accuracy. Every manual copy is an opportunity for a typo, an omission or a stale value that then propagates. By the time someone notices that two systems disagree about a customer's address, both have been used to send something.
Automation is worth doing here not because it is modern but because computers do repetitive transfers without getting bored, and boredom is what causes the errors.
What tends to get automated first
Some flows come up repeatedly, and they are usually the right place to start.
Lead routing. A form submission reaching the CRM and the right salesperson immediately, with its source preserved. Response time to an enquiry is one of the few things that measurably affects whether it converts.
Customer and order synchronisation. The same client record consistent across the systems that need it, so nobody has to ask which one is current.
Document generation. Contracts, invoices and specifications built from live data instead of from last month's file with the numbers changed.
Recurring reports. Reports that assemble and distribute themselves, which also removes the quiet dependency on the one person who knows how to produce them.
Where no-code stops being enough
Platforms like Make, n8n and Zapier are genuinely good, and for a simple flow between two well-supported services they are usually the sensible choice. We build in them when they fit, and say so rather than proposing something larger.
They become the wrong tool in fairly predictable circumstances. When the logic grows branches and conditions, a visual flow becomes harder to reason about than the equivalent code. When volume is high, per-operation pricing stops being cheap. When a failure needs a specific recovery rather than a generic retry, you need control the platform does not offer. And when the transformation between two data models is genuinely complicated, expressing it in a visual editor is more painful than writing it.
The reasonable approach is to decide per flow. Plenty of companies end up with a mix, and that is fine.
Automation must expect to fail
The systems you are connecting will be unavailable sometimes. Requests will time out. A payload will arrive with a field that has never been empty before, and it will be empty.
An integration that assumes the happy path handles this by losing data quietly, which is the worst available outcome because you find out weeks later from a customer. We build integrations that retry safely, that record what has already been processed so a repeat does not create a second invoice, and that escalate to a person when something genuinely cannot be resolved.
This is also why monitoring is part of the work rather than an extra. An automation nobody is watching is not saving you effort. It is deferring it.
Start with the most frequent step
You do not need an automation strategy. You need the single most repeated manual step in your week to stop being manual.
That is where the return is clearest, the scope is smallest and the result is easy to judge. It also tends to reveal the next candidate, because once the obvious transfer is gone, the actual bottleneck becomes visible.
There is a second benefit that rarely gets mentioned in the business case. Automating a process forces you to write its rules down, and those rules are usually carried informally by one experienced person. Making them explicit is worth something on its own, and you notice it the week that person is on leave.
What you get
Lead routing between forms, CRM and sales tools
Enquiries reach the right person with their source and context attached, within seconds rather than whenever someone next checks a shared inbox.
Customer and order data synchronisation
One record kept consistent across the systems that need it, with an agreed rule for which source wins when two of them hold different values.
Document and report generation
Contracts, invoices, specifications and recurring reports produced from live data on a schedule or a trigger, rather than assembled from a template each time.
Data exchange with third-party systems
Connections to your partners', suppliers' or clients' systems, including the awkward cases where the other side offers file exchange rather than a modern API.
Monitoring and alerting
Visibility into what ran, what failed and what is stuck. An automation nobody is watching is a system that fails quietly, which is worse than one that fails loudly.
Error handling and safe retries
Failed operations retry without duplicating what already succeeded, and anything that cannot be resolved automatically surfaces to a person with enough context to act.
How we work
- 01
Find where data is retyped
We trace the actual path a piece of information takes through your company. The places where somebody exports, copies or re-enters it are the automation candidates, and there are usually more of them than expected.
- 02
Check what each system can actually do
APIs, webhooks, export formats, rate limits and permissions. This step decides what is feasible and at what cost, and it is where estimates either become reliable or fall apart later.
- 03
Agree the rules before writing code
Which system owns which field, what happens on a conflict, what counts as a duplicate. These questions have business answers, not technical ones, and they need settling first.
- 04
Build and run alongside the manual process
The automation runs in parallel with the existing way of working for a period so you can compare the results before anything depends on it.
- 05
Monitor and maintain
We set up alerting on the flows that matter and stay available for the changes that follow, because external APIs get updated whether or not it suits you.
Tools and technology
Where a solid open-source tool exists, we choose it over a closed one. No lock-in to a single vendor, and costs you can actually predict.
- n8n
- TypeScript
- Node.js
- PostgreSQL
- Redis
- Grafana
- Make
- Zapier
- HubSpot
- Salesforce
- Google Workspace
- Microsoft 365
Frequently asked questions
Related work
More services in this category
Custom Business Systems
A custom system holds the work your company already does in one place, with the statuses, rules and permissions that match how you actually operate rather than how a generic tool assumes you do.
Web Applications and Online Tools
A web application runs wherever your clients and team already are, in a browser, with nothing to install and one version to maintain.
E-commerce Systems
Online sales is more than a storefront. Most of the work sits in the processes behind it, and that is usually where the manual handling and the errors accumulate.
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