What these builds actually look like.

Each one shows the kind of thing I build, and the published research on why that kind of tool is worth having.

§01 05 EXAMPLES

hollowaycoffee.co.uk

Holloway

EST. 2019 · N7

Slow mornings,
good coffee.

See the menu

Website builds

A site that makes a small business look as considered as it actually is. Clear menu, opening hours, and location above the fold, fast on a phone, and easy for the owner to update without calling anyone.

46.1%

of people judge a website's credibility partly on its visual design alone.

Source: Stanford Web Credibility Project (Fogg et al.), Stanford University

app.yourbusiness.co.uk/overview

Overview Last 30 days

Revenue £48.2k ↑ 12.4%

Orders 1,204 ↑ 6.1%

Refunds 2.1% ↓ 0.8%

Dashboards

The numbers that actually run the business, pulled from the tools you already use and updated on their own. No more exporting spreadsheets on a Monday morning to work out how last week went.

~60%

of a sales team's time goes to non-selling work, including manual data entry and internal reporting.

Source: Salesforce, State of Sales report (2026 edition)

yourbusiness.co.uk

AI customer service & chatbots

An assistant that answers the same twenty questions your team answers every week, instantly and at any hour, and hands over to a person the moment something needs real judgement.

80%

of common customer service issues will be resolved autonomously by agentic AI, without human involvement, by 2029. This is a published forecast, not a current measured result.

Source: Gartner press release, March 2025

Fig. 04 Data flow — connected systems

API integrations

Your tools stop being islands. A sale in one system updates the invoice, the stock count, and the customer record on its own, so nobody is copying the same figure into three places and nobody is working from last week's numbers.

6+ hrs

a week is what nearly 60% of workers estimate they could save if the repetitive, manual parts of their job were automated.

Source: Smartsheet, Automation in the Workplace (2017)

Fig. 05 Classification pipeline

ML / AI workflow integration

The judgement-heavy sorting that quietly eats a week gets handled on arrival. Enquiries, orders, or documents are read, categorised, and sent to the right place, with anything genuinely ambiguous flagged for a human instead of guessed at.

60–70%

of the time employees spend working is taken up by activities that current technology has the potential to automate.

Source: McKinsey Global Institute, “The economic potential of generative AI” (June 2023)

§02 CONTACT

Want one of these for your business?

Tell me what you're trying to fix. I'll tell you honestly whether it's worth building, and what it would take.

contact@atelo.agency

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