Ask the business a question
The figures exist. They sit in the accounts package, the CRM and a spreadsheet someone updates on Fridays. Getting an answer means asking the one person who knows how to join them, then waiting.
This system answers directly and shows its working. Ask which customers ordered less this quarter and it returns the list, with the query it ran and the rows it used. The same engine writes your weekly report, in your format, on a schedule.
This is a blueprint, not a client case study. It draws on report automation and source-cited answers we already run, and it starts with read-only access to a copy of your data.
A chat tool will guess the number
Paste a question about your sales into a general chat tool and it will answer fluently, whether or not it has seen the figures. That is the gap between using AI and trusting it.
A number you cannot check is worse than no number, because someone will act on it. So every answer here arrives with the evidence that produced it.
Four steps, a person in charge
Connects read-only
Links to your spreadsheets, accounts and CRM with permission to read, never to write.
Answers with evidence
Returns the answer with the query it ran and the rows it used, so anyone can check it in seconds.
Says when it cannot
If the data does not hold the answer, it says so and explains what is missing, rather than estimating.
Writes the report
Produces the weekly or monthly pack in your layout and sends it on a schedule, with the same evidence behind every figure.
Same pattern, any size
For a small firm: An owner asking about margin by product, who owes what, or which lines are slowing down, without waiting for the bookkeeper.
For a larger organisation: Management packs and board reporting drawn from several systems, with every figure traceable for audit.
On your data, first
We start with read-only access to a copy of your data and the ten questions you ask most. You see the answers and the evidence behind them before deciding anything.