AI automations
Hand repetitive admin to software. Keep a person where judgement matters.
We look at a process your team repeats every day, like reading emails, copying data between tools or writing the same replies, and automate the steps that don't need a person. AI does the reading and writing. Plain rules do the rest.
This is for you if
- Someone on the team spends hours a week copying data between tools.
- Emails, forms or PDFs all need to be read, sorted and sent to the right place.
- You tried Zapier, but the workflow needs more than if-this-then-that.
What you get
- A map of the process, with time spent on each step
- A shortlist of what to automate and what to keep manual
- Working automations connected to your tools
- A review queue for anything the AI isn't sure about
- Logs, alerts and a simple dashboard
- A written runbook and a handover call
What this can look like
Examples of the kind of work we take on.
Document intake
Pull fields out of invoices, receipts or application forms and put them into your system. Low-confidence items are flagged for review.
Inbox triage
Label, summarise and route incoming email, and draft replies for a person to approve.
Weekly reporting
Collect numbers from several tools every Monday and send the team a short written summary.
Tools we use for this
- n8n
- Make
- Zapier
- Python
- Claude API
- OpenAI API
- Google Workspace
- Airtable
Common questions
How do I know if it's worth automating?
Before we build, we estimate hours saved per month against the build and running costs. If the numbers don't work, we'll say so.
What happens when the AI gets something wrong?
Anything it isn't confident about goes to a review queue instead of going through automatically. You decide which steps always need a person.
For anything else, email [email protected].
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