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AI and automation

AI that does the boring half of the job

Most AI in business is a demo nobody uses twice. The version that sticks is unglamorous: answering the same question for the hundredth time, routing an enquiry to the right person, and getting information out of an inbox and into a system.

See what could be automated

Automation that removes work, not that creates it

Every business has a set of tasks that are important, repetitive and slightly different each time. Answering the same five questions. Qualifying an enquiry before it reaches a person. Copying details from an email into a spreadsheet into a CRM. Chasing a quote that has gone quiet.

That is what this is for. Not replacing your team, and not a chatbot that frustrates people until they leave. Something trained on your actual content, your actual services and your actual policies, that handles the predictable part and hands over the rest.

It also matters for being found. A growing share of research now starts in an answer engine rather than a search results page, and those systems read a site differently. Being quotable is becoming its own discipline.

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Trained on your business

Your services, your pricing rules, your policies and your tone. It says what you would say, and when it does not know it says that instead of inventing something.

Lead routing and qualification

Enquiries sorted, qualified and sent to the right person with the context attached, so nobody reads the same email four times to work out who owns it.

Workflow automation

The copy and paste between systems, done automatically. Quotes, follow-ups, reporting and the admin nobody wants but everybody does.

Answer engine visibility

Structured markup, clean content and an llms.txt file, so answer engines describe your business correctly instead of guessing.

How it runs

Four steps, no mystery

01

Find the repetition

We look at where the hours actually go. The best automation candidates are usually annoying rather than complicated, and everyone in the business can name them.

02

Prove it small

One workflow, built and running, measured against how long it used to take. If it does not save time we stop rather than expand.

03

Connect it up

Wired into the systems you already use. Nothing worth automating lives in one place, which is exactly why it takes so long by hand.

04

Keep it honest

Reviewed as your business changes. An automation trained on last year's pricing is worse than no automation.

Common questions

About ai and automation

What people ask before they start.

Will an AI chatbot annoy my customers?

A bad one will. The ones that work answer the common questions accurately, admit when they do not know, and hand to a human quickly with the conversation attached. We test against your real enquiries before it goes near a customer.

Is my business data safe?

We scope exactly what the system can see, and it is your content rather than your customer database in most builds. Anything involving personal information gets designed around that constraint from the start, not retrofitted.

What is llms.txt?

A plain text file at the root of a site that tells AI crawlers what the business does and which pages matter. It is early and not universally honoured yet, but it costs nothing and it is already on every site we build, including this one.

Do I need to be technical?

No. If you can describe the task and what a good outcome looks like, that is the hard part done. The connecting up is our problem.

What does it cost?

Less than most people expect for a single workflow, and more than most expect for something that touches four systems and needs to be right every time. We scope one thing first so you can judge the return before committing further.

Let us build something that actually performs

Tell us where you are stuck. We will come back with a straight answer, a timeline and a fixed price. No jargon, no pressure.

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