AI that earns its keep.
Most AI pitches are theatre. We ship AI that changes a workflow and can prove it, because we run our own AI product in production. Agents and automation that remove real manual hours, AI inside your e-commerce and product, honest AI audits, and the AEO and GEO work that gets you recommended when buyers ask an assistant.
We don’t recommend anything we haven’t run.
Client platforms and products of our own, live in production. Every rule on this page was paid for once already by us, on the builds below.
Our waste-compliance platform for the DEFRA digital waste tracking mandate. We built an AI agent that understands waste - EWC codes and all - then put it on the website: visitors drag a photo onto the page and watch the classifier read it. The product sells itself.
Turns a business brief into a working website automatically, built on Duda's API. The marketing site, the AI engineering, the integrations and the account portal, delivered as one piece - and operated by us daily, which is where the discipline on this page comes from.
One of our own products - AI applied to the unglamorous middle of a sales workflow, where an hour saved every day actually compounds.
our own product
Tooling we built for agency workflows, born from running our own studio on the same ideas we sell.
our own product
What we build.
Four lanes, one rule: AI gets scoped where it changes a workflow, not where it decorates one. If a feature does not remove cost or lift conversion, it does not ship.
AI agents and automation
Agents and workflows that do real jobs: triage and routing, document handling, quoting, research and support. Built with the failure states, evaluation and human-in-the-loop controls that keep them trustworthy in production.
guardrails · evaluation · human-in-the-loop
AI inside your site and your product
Assistants, semantic search, recommendation and generation built into your website, store or app - where they lift conversion or remove cost, not where they decorate a homepage.
conversion or cost, or it doesn't ship
AI audits
An honest look at where AI would actually pay back in your business, and where it would not. You leave with a prioritised, costed list, not a hype deck.
prioritised · costed · honest
AEO and GEO (AI search)
The work that gets you cited when buyers ask ChatGPT, Claude, Perplexity and Google's AI for a shortlist: answer-first content, entity and schema structure, llms.txt, and citation tracking.
Three places AI earns its keep.
Most AI agencies sell the third of these and stop. Because we’re a design and software studio, we put AI where it wins customers and where your customers can feel it - and the audit ranks all three for your business before anything gets built.
In your marketing stack
AI search visibility engineered in, so you show up when buyers ask an assistant instead of Google, and a site that iterates at AI speed. This is where AI wins you customers before a competitor has updated their deck.
In your product
Classifiers, agents and AI features your end customers actually touch. LoadSnap's waste classifier lives on the website itself - visitors drop in a photo and see what the AI sees. The product speaking for itself.
In your operations
Automations for the work your team repeats - quoting, routing, document handling, reporting - connected to the systems you already run rather than another dashboard nobody opens. Humans stay in charge; the boring parts stop being manual.
How an AI engagement runs.
Audit first, build on evidenceNo six-month strategy phase. The audit finds where AI pays, a prototype proves it against your real data in weeks, and only what survives that test gets engineered for production. Builds from £18,000, scoped after discovery and itemised before you commit; our AI consultancy page covers the audit-to-shipped path in detail.
Audit, priced and honest
Where AI genuinely pays in your business, and where it doesn't: a ranked list of candidates with effort, risk and expected return on each, written by the engineers who would build them.
Prototype
The top candidate built as a working prototype against your real data, not a demo against sample data. You judge results, not promises - and if the numbers don't hold, we say so and stop there.
Production
What works gets engineered properly: guardrails, monitoring and evaluation designed in, deployed as plain code in a repository in your name, connected to the systems you already run.
Iterate and extend
Production data feeds the next decision: tighten what drifts, extend what pays, retire what doesn't. The same evaluation that gated launch keeps running afterwards.
Trustworthy in production, not just in the demo.
The demo is the easy part. These are the operating rules every AI build here ships with, because we run our own AI product and live with the consequences of skipping them.
Every agent and automation has boundaries, a log of what it did and why, and evaluation designed in before launch - not bolted on after the first incident.
AI drafts, routes and classifies; a person signs off the decisions that matter. Human-in-the-loop is a design decision here, not an apology.
Your code, your model accounts, your data, documented for handover. We build AI you can run and extend without us, the same way we run our own.
Providers and models swap without a rewrite, and there's no per-seat AI platform standing between you and your own feature - or billing you for it monthly.
Is AI work right for you?
Asked before every AI build.
Four things: agents and automation that remove manual hours; AI built into a website, store or product; AI audits that tell you honestly where it pays back; and AEO/GEO so AI assistants recommend you. We scope AI where it changes a workflow, not where it decorates one - a discipline running Avago in production taught us.