AI Automation & Integration
You do not need to replace your systems to get value out of AI. Most of the win sits in the gaps between the tools you already pay for — the copying, the re-typing, the reading of the same PDF for the fifth time.
The Admin Nobody Was Hired To Do
Reading an invoice and typing it into the accounts package. Sorting an inbox into urgent, routine and noise. Pulling six fields off a form and putting them into a CRM. This is where AI is genuinely, boringly good — and where it quietly gives skilled people hours back every week.
It Fits Around Your Existing Tools
We build on n8n and direct API integrations, so the automation sits alongside the software you already use rather than replacing it. Your team keeps working in the same inbox, the same CRM and the same accounts package — the difference is that the dull half of the job is already done when they open it.
A Human Stays In The Loop
Full autonomy is rarely the right answer. We design approval steps at the points where being wrong is expensive — an invoice above a threshold, a message going out to a customer, anything touching money or a legal deadline. The automation does the reading and the drafting; a person keeps the final click.
When It Breaks, You Find Out First
Every workflow ships with logging, retries and alerting. If a provider goes down, a document arrives in a format nothing has seen before, or confidence drops below a threshold, the work routes to a person instead of failing quietly. Silent failure is the thing that makes people stop trusting automation.
Common Questions
Do we have to replace the software we already use?+
No, and that is rather the point. Automation sits alongside your existing inbox, CRM and accounts package and connects them through APIs. Your team carries on working in the same tools they already know — the difference is that the repetitive half of the job has already been done by the time they open them.
What kind of tasks are actually worth automating?+
High-volume, rule-shaped work where being slightly wrong is cheap and recoverable. Sorting an inbox, extracting fields from invoices and forms, drafting first-pass replies, moving data between two systems, flagging exceptions for review. Low-volume or high-stakes judgement calls are usually better left with a person, and we will tell you which is which.
What happens when the automation gets something wrong?+
It routes to a person rather than failing quietly. Every workflow ships with logging, retries and alerting, and we set confidence thresholds below which the task is handed to a human instead of guessed at. For anything touching money, legal deadlines or outbound customer contact, we build an explicit approval step so a person keeps the final click.
Is our data safe if it is being sent to an AI provider?+
Commercial API tiers from the major providers do not train on your data, and we can restrict processing to specific regions where that matters for GDPR. Where data is genuinely sensitive we can redact before sending, or run smaller open models on infrastructure you control. We will always tell you exactly what leaves your systems and where it goes.
How quickly can we see something working?+
Most automation projects run two to six weeks, and we deliberately start with one workflow rather than ten. Getting a single painful process working end to end proves the value quickly, and it teaches us both a great deal about how your business actually operates before we build the rest.