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What we do

Automated reporting
that writes itself

A brief in your inbox on a schedule: what moved, why it moved, and the one thing worth chasing this week. Built from your own numbers, written in plain English.

The problem

Most businesses don't need another dashboard. They need the numbers to arrive, with the reason attached, at a time when something can still be done about it.

That's what we build: a short report that turns up on a schedule, pulling from every system you run, with a sentence explaining each movement and one exception worth acting on. If you want somewhere to dig afterwards, you get that too — but second, because a dashboard you have to remember to open is a dashboard that stops being opened.

What we build
01

The five numbers that matter

Agreed with you up front — sales with a comparison, cash owed and its age, work committed but not delivered, whatever constrains you, and one thing that's drifting.

02

The reason, not just the number

Written automatically from the underlying rows: which product drove it, which accounts stopped, whether the overdue balance is one customer or a general slide.

03

Every system, one set of figures

Accounts, till, web shop, booking system, job software — joined so the totals agree and meetings stop being about whose spreadsheet is right.

04

Ask it anything

Plain-English questions answered from live data, so looking something up stops being a job for whoever can build a spreadsheet.

05

Definitions written down

One line per metric, agreed before anything is built. It's the unglamorous step that decides whether people trust the output.

06

History from day one

Snapshots kept so that next year you can compare, and so 'when did this start?' is answerable.

Proof

Reporting that runs unattended

A weekday briefing email pulling deploy status, lead counts and errors across eighteen properties into one place — because it arrives, it still gets read.

os.buzzaccounting.co.uk
Reporting that runs unattended
Case study

One engine, every brand

A content and capture machine: ~126 generated pages, an AI writer publishing weekly to seven branded sites, and every enquiry landing in one pipeline.

Read the case study →
Straight answers

The things people ask.

How is this different from a dashboard?

A dashboard waits to be visited. A report arrives. In practice that's the difference between something that becomes a habit and something that gets bookmarked and forgotten around week three.

Which systems can you pull from?

Anything with an API or a scheduled export — accounting packages, e-commerce, tills, payment providers, booking and job systems, industry-specific software. We check yours specifically before quoting.

How current are the numbers?

Typically refreshed hourly. Most systems don't push changes out live, so we poll on a schedule — and for reporting, hourly is indistinguishable from instant.

Who writes the commentary?

AI, from your actual data, and it can only use figures retrieved from your systems. It doesn't opine and it doesn't forecast — it explains what changed.

What if our data is messy?

Usually the problem isn't mess, it's that the same customer has three names across three systems and nobody has agreed what 'sales' means. Both are fixable, and both are decisions rather than technology.

Read more

Written on this, at length.

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Tell us the job that keeps not getting done. We'll tell you if software can take it off you, and what it costs.

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