Business Automation
Business automation that removes the work instead of moving it
The repetitive tasks between your systems, mapped, automated and monitored, so the process runs itself and tells you when it does not.
Recognise any of these
What usually brings people here
Someone spends a morning every week copying data between two systems by hand.
An automation exists, broke quietly three weeks ago, and nobody noticed until a customer did.
Your CRM, your invoicing and your project tool each hold a different version of the truth.
Onboarding a client takes eleven manual steps and one of them is always forgotten.
Deliverables
What the engagement produces
Concrete outputs, not activity. Each of these is something you can point at when the work is done.
A written process map
The current workflow documented step by step with the time each step costs. This alone usually reveals two or three steps that can simply be deleted.
Working automations, in priority order
Built highest value first so the payback starts in week one rather than at the end of the project.
Failure alerting
Every automation reports when it fails. An unmonitored automation is worse than a manual process, because nobody is watching it.
A retry and recovery path
Transient failures retry with backoff. Permanent failures queue for a human with enough context to resolve them. Nothing is silently dropped.
A run log you can read
A record of what ran, when, with what result, so a disputed record can be traced instead of guessed at.
Documentation and a handover session
How each automation works, how to pause it, how to change it. Your team should not need to call anyone to turn something off.
Process
How the work runs
- 01
Map the process as it really is
Observation and interviews, not the version in the procedure document. The gap between the two is usually where the cost lives.
- 02
Eliminate before automating
Automating an unnecessary step makes it permanent. Steps that exist only because of history get removed first.
- 03
Pick the right tool per job
Some jobs suit Make or Zapier. Some need real code. Choosing a no code platform for something it cannot reliably do is the most common and most expensive mistake here.
- 04
Build, instrument, observe
Each automation ships with logging and alerting from the start, then runs alongside the manual process until it has proven itself.
- 05
Cut over and hand off
The manual process retires only once the automation has run clean for a full cycle. Then documentation and control transfer to your team.
Eliminate, then simplify, then automate
The most valuable hour of an automation project is spent asking why a step exists at all. A surprising number of steps exist because a system that was retired four years ago needed them, or because one person once made one mistake and a check was added forever.
Automating those steps preserves them permanently. So the order is fixed: remove what is not needed, simplify what is left, and only then automate. Projects that skip straight to tooling end up with a faster version of a bad process.
The silent failure problem
Most automation damage does not come from an automation that breaks loudly. It comes from one that breaks quietly. A token expires, a field is renamed, an API adds a required parameter. The automation stops, no one is notified, and three weeks of records are missing before anyone notices.
Every automation built here reports its own health. Successful runs are logged, failures raise an alert to a channel a person actually reads, and an automation that has simply stopped running is flagged by its own absence rather than going unnoticed.
This is the difference between an automation you can trust and one you have to check.
When no code is the right answer, and when it is not
Make and Zapier are genuinely good for what they are good at: connecting well behaved APIs with modest volume and simple logic. When that fits, they are the correct choice, because your team can maintain them without an engineer.
They become the wrong choice when the logic gets conditional, when volume climbs into the tens of thousands of operations, when a transaction has to be atomic, or when the cost per operation quietly overtakes what a small server would cost. At that point the honest recommendation is code, and the migration path is planned rather than discovered during an outage.
Questions
Business Automation questions we get asked
How much time can automation realistically save?
The process map produces the number before any building starts, because each step is timed during the audit. Engagements commonly recover somewhere between five and twenty hours a week across a small team, but the estimate you get is calculated from your own measured steps rather than from an industry average.
Will this replace anyone on my team?
That is your decision, not an outcome of the work. In practice most clients redirect the recovered hours rather than reduce headcount, because the automated tasks are the ones people least wanted to do. What changes is what the day is spent on.
What if my systems have no API?
There is almost always a path: a scheduled file export, a database connection, an email parser or a browser automation. Browser automation is the last resort because it is the most fragile, and when it is the only option that fragility is stated plainly along with what will break it.
Who maintains the automations afterwards?
You can, and the documentation and handover session are built for that. A maintenance retainer is available if you would rather not own it. Either way you hold the accounts and the credentials, so you are never locked out of your own workflows.
How quickly does the first automation go live?
The process map takes about a week. The highest value automation typically goes live in the second week and runs alongside the manual process until it has proven itself through a full cycle. Payback usually starts well before the engagement ends.
Often paired with
- AI IntegrationAssistants, document processing and semantic search wired into your real data, with evaluation and guardrails before launch.
- Full Stack DevelopmentCustom web applications and platforms built end to end, from schema design to the interface your customers use every day.
- AI Literacy TrainingRole specific, hands on training built around your real workflows, with a usable AI policy and a prompt library your team keeps.