Service
AI Employees Built Around Your Business
AI is only worth using when it makes work easier. I find the repeated jobs and bottlenecks in your business, then build a practical AI employee around the way your team already works.
AI employees in plain English
Most business admin is reading something, deciding what it is, and then doing a predictable thing with it. Reading an enquiry and deciding which department it belongs to. Reading an invoice and typing the numbers into accounting software. Reading a booking request and checking whether you have availability.
An AI employee is simply a system that can do the reading and deciding part, connected to the tools that do the rest. That's it. No robots and no reinventing your business — just less repetitive work for your people.
I build in clear checks and a human review step wherever mistakes would matter. You keep control; the system handles the repeated work.
Where AI genuinely earns its place
These are the categories of work I see paying back fastest in small and medium businesses.
Sorting your inbox
Sort the inbox before anyone opens it: enquiry, invoice, supplier, complaint, spam. Route each to the right person, folder or system automatically.
Draft email responses
Common replies drafted in your tone with the right details pulled in, sitting in the drafts folder for someone to check and send.
Customer enquiry handling
Understand what an enquiry is actually asking, retrieve the answer from your own information, and respond or escalate accordingly.
Handling invoices and paperwork
Pull line items, totals, dates and references out of PDFs and attachments, then push them into accounting or a database without retyping.
Updating customer records
Keep customer records up to date after calls, emails and forms, and create follow-up tasks automatically.
Knowledge assistants and reporting
Let staff ask questions of your own documents and data, and turn raw operational data into the weekly summary someone currently writes by hand.
What could AI automate in your business?
A useful way to think about it: follow one task from the moment it arrives to the moment it's finished, and mark every step a person has to do manually. Those steps are the shortlist. Here are workflows I build regularly.
- Enquiry arrives
- AI understands the request
- Information retrieved
- Reply drafted
- CRM updated
- Follow-up scheduled
- Invoice email received
- PDF read and data extracted
- Matched to purchase order
- Pushed to accounting
- Filed and archived
- Form submitted
- Works out what they need
- Owner assigned
- Personalised reply drafted
- Reminder set if no response
How I work
I start by looking at how the job is done now. If different people do it in different ways, we agree the best approach before building anything.
From there I build the smallest useful version and run it alongside your current process. You can see exactly what it would have done before you trust it to do it. Once it's earning its keep, I widen the scope.
Everything connects to the tools you already use. In most projects no existing software is replaced — the AI layer sits between what you have and closes the gaps.
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