Useful where it saves an hour. Not where it makes a headline.

Q: What happens when the model gets it wrong?

It will, so we design for it. Low-confidence results go to a person instead of being written straight into your records, every call is logged so a bad answer can be traced back, and there is a path that still works when the model is slow or unavailable.

Q: Do you need our data to train something?

No. We use models that already exist and point them at your content at the moment of the question. Nothing is used to train a public model, and we will tell you in writing which provider sees what before anything is connected.

Q: What does it cost to run?

There is a usage cost on top of the build, and it varies with how much you use it. We estimate the monthly figure before building and set a ceiling, so a busy month cannot quietly turn into a large bill.

Chatbots, document extraction and LLM integrations wired into the CRM you already run. We build the boring parts — the queue, the audit trail, and the fallback for when the model is wrong.

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15

YEARS DOING THIS

11

INDUSTRIES SERVED

5

PRODUCTS OF OUR OWN

9

WRITTEN UP IN DEPTH

A monitoring screen tracking a job as it runs

01 — WHAT WE DO

Four kinds of work that actually pay for themselves.

1

Assistants on your own content

A chatbot answering from your catalogue, your policies and your past tickets — not from the open internet. It cites where the answer came from, so the person reading it can check.

2

Document extraction

Invoices, purchase orders and forms read into fields your team would otherwise type. Anything the model is unsure about goes to a person instead of being guessed.

3

Drafting inside the CRM

Replies, summaries and follow-ups drafted where the work already happens. A person still sends it — the draft saves the typing, not the judgement.

4

Classification and routing

Enquiries sorted, tagged and sent to the right desk the moment they arrive, with the rules visible so you can correct them without calling us.

02 — HOW WE KEEP IT HONEST

The model is a component, not the product.

We write down the workflow before choosing a model

Anything that must be right gets a person in the loop

Every call is logged, so a wrong answer can be traced

Running cost is estimated before we build, not after

03 — QUESTIONS

The ones we get asked.

Will this replace my staff?

Not in anything we have been asked to build so far. What it removes is the retyping — reading a number off a PDF, copying it into a field, writing the same reply for the eleventh time. The judgement stays with the person, and on anything that has to be right we put them back in the loop deliberately.

What happens when the model gets it wrong?

Do you need our data to train something?

What does it cost to run?

04 — START HERE

Tell us the task you keep repeating.

If a model is the wrong tool for it, we will say so.

YOUR NAME COMPANY

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WHAT DO YOU NEED THE PROBLEM

Type the code So we know you are a person, not a script.

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Prefer to talk? WhatsApp or call — same team, same day.