AI that does the repetitive jobs, with you still in charge.

The most useful AI isn’t a chatbot on your homepage. It’s a quiet step inside the systems your team already use: reading the document, sorting the enquiry, drafting the reply, flagging the thing that needs a person.

I find the jobs worth automating, build them into your systems, and put sensible checks around them. Where AI isn’t the right answer, I’ll say so.

Practical jobs AI handles well

Each of these is something a person currently does by hand, repeatedly, and mostly the same way each time.

Reading Documents

Pull names, dates, amounts and reference numbers out of invoices, forms, emails and PDFs, and put them straight into the right record.

Sorting Incoming Work

Classify enquiries, support requests or orders, route each to the right person, and flag anything urgent or unusual.

Drafting Replies

Prepare a first draft of a routine response using your own information and tone, for a person to check and send.

Summaries & Reports

Turn long threads, notes or data into a short summary or weekly report that lands with the right people automatically.

Asking Your Own Data

Let your team search records and documents in plain English instead of learning field names and filters.

Cleaning & Matching Data

Spot duplicates, standardise messy entries and match records across systems, the sort of job that normally takes an afternoon.

When AI is the right tool, and when it isn’t

Plenty of “AI” jobs are better done with a plain, reliable rule. I’ll pick the simpler option whenever it does the job.

Good fit for AI
Better done another way
The input
Messy and varied: free-text emails, scanned documents, different layouts.
Neat and predictable: a form with fixed fields needs a rule, not a model.
The output
A draft, a suggestion or a sorted pile that a person can check quickly.
A figure or decision that must be exactly right every time with no check.
The job
Repeated often enough that the time saved is measurable.
Done twice a year. A checklist is cheaper than a build.

Automation you can trust to run without you watching

AI gets things wrong sometimes. The system around it is what makes it safe to rely on.

A Person Approves What Matters

Anything customer-facing, financial or hard to undo goes to a human to approve first. You decide where the line sits.

It Flags What It’s Unsure About

When the AI isn’t confident, the item is passed to a person rather than guessed at.

Everything Is Logged

You can see what went in, what came out and who approved it, so a problem can be traced and fixed.

Your Data Stays Yours

I choose services that don’t train on your data and tell you plainly what leaves your systems, with UK GDPR in mind from the start.

Start small, prove it, then extend it

One job at a time, with a measured result, rather than a big programme of change.

01

Find the Right Job

We talk through where your team’s time goes, and I pick the one repetitive task where automation will make the clearest difference, with an estimate of the hours it could give back.

02

Build & Test on Real Cases

I build it into your system and test it against your own real examples, so we see how it behaves before anyone relies on it.

03

Measure & Extend

We compare time and errors before and after. If it’s earning its keep, we move on to the next job.

AI automation, answered plainly

What is AI automation?

It’s using AI to do a repetitive step in a business process, such as reading a document, sorting an enquiry or drafting a reply, as part of a system that runs on its own with a person checking the important parts.

Will it replace my staff?

The aim is to take the repetitive, low-value work off people so they can spend time on the work that needs judgement and a human. I don’t build things to remove people.

Do I need to understand AI to use this?

No. You tell me what takes up your time and I handle the rest, explaining each choice in plain English.

Is it safe to put customer data through AI?

It can be, if it’s done carefully. I use services that don’t train on your data, send only what’s needed, and tell you plainly what leaves your systems.

What if the AI gets something wrong?

It will occasionally, which is why the system is designed with checks: approval where it matters, flagging when it’s unsure, and a log of everything.

How much does it cost?

AI automation is scoped per project, and I agree a fixed price in writing before any work begins. Custom systems start from £2,000. See the packages page for the starting points.

Not sure where AI could save you time?

Tell me what takes up your team’s week. I’ll give you an honest assessment of what’s worth automating, and what isn’t.

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