See the work. Check the evidence.

The scenarios below show how an automation could work. They are illustrative examples, not client results. A published case study needs a documented before-and-after and the client’s permission.

Book a 20-minute call See the examples
No fabricated logos Numbers, not testimonials Examples clearly labelled
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02 / The evidence · published when verified

Client results, when the evidence is ready.

Current publication status. No client names or results are published in this ledger.
Index Client Job Hours returned Status
01 No published case study yet Unpublished Unpublished NOT PUBLISHED

A result is added after its measurements and wording have been checked and the client has approved publication. The empty ledger does not represent reserved places.

03 / How we prove it · measured, not claimed

How will you know it worked?

Anyone can post a glowing quote. We’d rather show you the maths. Every build starts by measuring the task, how often it happens, how long it takes, what it costs, and ends by showing you the same numbers afterwards.

So a result with Neura North lands as a before-and-after: hours a week reclaimed, pounds a year saved, errors cut. You’ll see your own version on the AI Opportunity Audit, on a calculator we fill in together.

The examples below are illustrative, they explain possible workflows and are not measured client savings. We’ll replace them with named, consented case studies when verified results and permission are available.

04 / Illustrative examples · not real clients

Examples of work we could automate.

Scenarios for explanation only, so you can picture the kind of saving a job produces. Your real numbers come from the AI Opportunity Audit.

Illustrative · Trades

Quote chasing.

A trades business sends and chases roughly eight quotes a week by hand. An automation drafts each quote and follows up on a schedule until it’s won or lost.

Illustrative workflow: drafting and follow-up
Illustrative · Online shop

Customer questions.

An online shop answers the same delivery and returns questions all day. An assistant handles the routine ones instantly and passes the rest to a human with the context attached.

Example saving: faster replies, fewer late nights
Illustrative · Practice

Weekly report.

A small practice spends a chunk of every Friday pulling numbers into a report. An automation gathers the data and writes the first draft, ready to check and send.

Example saving: a Friday afternoon back

Illustrative scenarios for explanation only · not based on specific clients · your numbers come from the AI Opportunity Audit.

05 / Before work starts · scope and evidence

Start with a task worth measuring.

I
Agreed scope

Know what we’re building.

We agree the workflow, the price and the acceptance criteria before work starts. The published packages explain what is included.

II
Your approval

Published with your permission.

A case study needs a documented before-and-after and your approval of the wording. An illustrative example stays labelled as an example.

Your project starts with an agreed scope, price and acceptance criteria.

Any case study is a separate publication decision, made with your permission.

When a number appears on this page, it will be real. That is the whole point.

✳ Ready when you are · 20-minute call

See your numbers first.

The fastest way to know what AI is worth to your business is to measure it. Book a 20-minute call, then the AI Opportunity Audit puts your real tasks through the calculator and shows you the saving before you commit to a build.

Book a 20-minute call Run the leak scan or call 07766 404343