Report drafting
Turn figures and notes into a first draft of a weekly report, proposal or update for a person to finish.
Ask your business
anything.
Answers are often buried in spreadsheets, databases, shared drives and inboxes. Large language models let people ask for what they need in plain English, and can read, summarise and organise text at scale. Here are some of the ways they can help.
01 / IN PRACTICE
Each example below is a common starting point. Real projects are shaped around your own data, the people using it and how accurate the answers need to be.
01 / QUESTIONS OF YOUR DATA
Staff ask a question in plain English and the model turns it into a query against your sales, stock or job data, then explains the result. The query is shown alongside the answer, so the figures can be checked rather than taken on trust.
Answers in seconds, with the working shown.
Which products sold best in Harrogate last quarter?
SELECT product, SUM(qty) AS unitsFROM sales WHERE store = 'Harrogate'AND quarter = '2026-Q2'GROUP BY 1 ORDER BY 2 DESC
Oat flat whites led the quarter with 1,284 sold — 18% more than Q1.
02 / DOCUMENT SEARCH
Policies, contracts, manuals and project files are indexed by meaning, so a question finds the right passage even when it uses different words. Answers cite exactly where they came from, and say so when the documents don’t cover the question.
Answers that point back to the source.
Can I carry unused holiday into next year?
Yes — up to 5 days can be carried over and must be used by 31 March 1. Carrying over more needs your manager’s approval 2.
03 / SUMMARIES & THEMES
Reviews, survey responses, support tickets and reports can be read in bulk and grouped into themes, with counts and sentiment. Managers see what people are actually saying, with real quotes to back it up.
The big picture, with the evidence attached.
“Arrived the next day, really impressed.”
Delivery speed“Box was crushed and one jar broke.”
Packaging“Lovely staff on the phone, sorted it fast.”
Staff“Checkout kept rejecting my postcode.”
Website04 / TEXT TO STRUCTURED DATA
Orders, enquiries and booking requests often arrive as free text. A language model can pick out the details — who, what, how many and when — and pass them into your systems in the right format, asking a person whenever something is missing or unclear.
Consistent records from messy messages.
Hi, could we get 40 bags of compost and 12 trays of bedding plants delivered Friday morning? Same address as last time. Thanks, Sarah
05 / DOCUMENT REVIEW
A model can read contracts, tenders or supplier terms and highlight clauses worth a closer look — payment terms, renewals, liabilities — against a checklist you define. It doesn’t replace professional advice, but it helps people reach the important parts faster.
The clauses that matter, found first.
02 / AND MORE
Turn figures and notes into a first draft of a weekly report, proposal or update for a person to finish.
Translate documents, product information or customer messages while keeping your terminology consistent.
Classify incoming emails, forms and tickets by topic and urgency so they reach the right person.
Turn transcripts or rough notes into clear minutes with decisions and actions listed.
Match duplicate customers, clean up product descriptions and standardise messy spreadsheet data.
Where data is sensitive, models can run on your own server or in a UK-hosted environment.
03 / GETTING STARTED
The documents, databases or inboxes the answers should come from — kept up to date as they change.
People should only get answers from information they are already allowed to see.
A set of real questions to measure accuracy before launch and to check it stays reliable afterwards.
The system should say when it doesn’t know, and important outputs should be checked by a person.
04 / YOUR DATA, IN PLAIN ENGLISH
Tell me where your information lives and what people need to get from it. We can talk through whether an LLM is a good fit and what a small, well-tested first version could look like.
Open to projects in North Yorkshire and nationwide