00
Data analysis

You have the data. What's missing are the answers.

Your company's information exists: it is in the sales system, in loose spreadsheets and in the heads of two people. What does not exist is a moment to sit down and cross-reference it.

01
The problem

Deciding on what you think you remember

Simple questions — which product left the most margin, which customer is drifting away, which month is best to buy in — end up answered from memory, because getting the actual figure costs half a day's work.

And by the time the report finally lands, the moment to use it has passed.

02
What changes in your operation

Ask, and have the answer there and then

You ask in words, not formulas

“How much of this did we sell last quarter, and at what margin?” — and the figure comes back, with a note of where it came from.

Scattered data finally gets joined up

Sales, stock, receivables and payroll stop being four separate worlds nobody compares.

The report arrives on its own

The monthly one, the year-end one, the one the bank asks for. Built and in your inbox on the day it is due.

You see what is shifting

The customer buying less, the product that stopped moving, the cost that crept up while nobody was watching.

  1. YOUR SOURCESFour systems that today don't talk to each otherSales · Stock · Payments · Payroll
  2. CLEANINGDuplicates, blanks and broken records outduplicates and blanks removed
  3. MODELThe pattern nobody had time to look for finally surfacespattern found
  4. YOUR DASHBOARDBuilds itself, every day+18% margin · UPDATES ITSELF · EVERY DAY

From four systems that don't talk to each other to a dashboard that builds itself

03
Who it's for

Where there is data and no time

Retail and distribution

Stock turnover, margin by product and how each customer actually behaves.

Professional services

Real profitability per project and per client, rather than a hunch.

Manufacturing

Costs, waste and timings that today are estimated by eye.

Management

The dashboard somebody builds by hand on a Sunday night.

04
Questions

What people ask before starting

01Can the AI invent a figure?+

No, because it is not the one doing the sums. The queries are run by code against your data and the agent only writes up the result, noting where each number came from.

02Is my data too messy for this?+

It nearly always is, and sorting it is part of the job. Tidying enough to answer the questions that matter is far quicker than tidying everything.

03Do I need a new system?+

Not necessarily. It connects to what you already use; if something is missing, it gets added without replacing what works.

04Who gets to ask?+

Whoever you decide. Who can see what is agreed before anything is connected.

Which question about your business can't you answer today?

In our first session we take one real question that costs you half a day to answer and work out what it would take to have it in seconds.