Workflow Automation
Type it once, not three times.
Somebody in your business is the integration. They read an order off one screen and type it into another, chase the file that did not arrive, and remember the step everyone forgets on a Friday. We replace that path with rules that run whether or not anybody is watching, and tell you when they do not.
What You Get
The parts that decide whether it works.
Mapped Before Built
We follow the job through your business first and write down every step, including the ones nobody documented. Automating a bad process just makes it wrong faster.
Deterministic By Default
A rule fires and the same thing happens every time. Nothing is left to a judgement call, which is what makes a workflow safe to point at an invoice.
Runs Without You
On a schedule, on a webhook, or the moment a record changes. It does not need a laptop left open or somebody remembering it is Tuesday.
Watched And Alerted
Every run is logged and every failure raises an alert to a named person. A workflow nobody is monitoring is a workflow that stopped last month.
Safe To Retry
Steps are written so running one twice does not send two invoices or create two jobs. That is a design decision made up front, not a patch afterwards.
Handed Over, Not Held
The workflows run in accounts you own, the logic is documented in plain English, and another developer can pick it up. Nothing here depends on us staying.
What is still moving between systems by copy and paste.
We wire the systems you already run so an order, an invoice or an enquiry moves between them without somebody retyping it.
The candidates are easy to spot once you look for them. They are the tasks somebody does at the same time every week, the ones that only one person knows, and the ones that quietly stop when that person is on leave. We go through them with you and rank them by what they cost you rather than by how interesting they are to build.
Usually worth automating first
- Orders retyped from email into another system
- Invoices chased by hand on a Friday afternoon
- Enquiries copied from a form into a spreadsheet
- Stock counts reconciled between the shop and the warehouse
- Timesheets collected, totalled and sent to payroll
- Reports rebuilt from the same export every month
- Onboarding steps that live in one person's head
What lands in your hands
A workflow is deterministic. A rule fires, a thing happens, and it happens the same way every time. Most of what a business calls automation is this rather than anything clever: a form that writes into the system behind it, a paid order that raises a job card, a reminder that goes out on day seven. We will tell you when that is all you need.
What's included
- A written map of the current process
- The automation built in your own accounts
- Error handling and retry rules per step
- Failure alerts to a named person
- A run log you can read yourself
- Test runs against real data before go-live
- Plain-English documentation of every rule
- A handover session with whoever runs it
How An Engagement Runs
Audit first, then build what earns its keep.
Four stages, in order. Nothing is built before the audit says it is worth building, and nothing goes live before you have watched it run beside the manual process.
01. Audit
We sit with the people doing the work and record where the hours actually go, task by task. You get the findings in writing whether or not we build anything.
02. Pilot
One task, built and run beside the manual process rather than instead of it, so you can compare the output before anything is trusted with real work.
03. Deploy
The agent goes into your existing systems, with the handover, the access and the written record of what it does and where a person has to approve it.
04. Operate
We watch what it gets right and what it gets wrong, fix the second, and tell you when a task has changed enough that the agent should be retired.
Questions
Before you commit.
What is the difference between a workflow and an AI agent?
A workflow is deterministic: a rule fires and the same thing happens every time, so you can predict it, test it and audit it. An agent makes a judgement, which is useful when the input varies too much for rules but is harder to guarantee. Most businesses need far more of the first than the second, and we will say so rather than sell you the more interesting one.
What happens when a supplier changes their portal and the workflow breaks?
It breaks, and you find out from us rather than from a customer. That is the honest failure mode of this work: a form gains a field, a portal is redesigned, an export changes its column order, and a step that ran for a year stops. The alerting is what makes it a half-hour fix instead of a month of silence, and repairs to something that changed underneath us are quoted like any other job.
What happens if it fails at two in the morning?
The run is logged, an alert goes to a named person rather than to a shared inbox, and the step is written so it can be retried without doing anything twice. What does not happen is somebody sitting up watching it. We do not publish a 24/7 response promise we cannot staff: out of hours we will look at something that has stopped money moving, and the rest waits for the next business day.
Do I need to replace the software I already use?
Almost never. The point of this work is that your shop, your mailbox and the systems behind them stay where they are and start talking to each other. If a system genuinely cannot be reached, with no API, no export and no usable screen, we will tell you that, and replacing it becomes your decision rather than a condition of the job.
Can you automate something and leave us to run it?
Yes. The workflows are built in accounts registered in your name, the logic is documented in plain English, and the handover session covers how to read the run log and what to do when something fails. Plenty of clients keep us on to watch and maintain them, but that is a separate arrangement and not a condition of the build.
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Let's create something amazing together.
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