We build your site, bring in the customers, and put AI to work where it actually pays. From London and Dubai.
One accountable team for the website, the marketing and the agents — not three suppliers pointing at each other.
Disciplines,
one accountable team
Offices covering
UK, Europe and the GCC
Of working-day cover,
06:00–18:00 UK
Month payback test
on every AI use case
What we do
01 / Web
Websites and platforms built to convert and built to last. We design and build the thing, then hand you the keys and the code.
02 / Growth
Demand generation that reports in revenue, not impressions. Every channel is measured against the number you actually care about.
03 / AI
AI that pays for itself — found, built, and proven. We start by finding out where it does not pay, and tell you.
The OneRee difference
Every agency says it is different. These are the five that are specific enough to hold us to, and they appear in the contract rather than only on this page.
01
Web, marketing and AI are planned in the same room by the same pod. Nothing gets bolted on after the fact, and nobody blames the other agency.
02
Every AI project starts with a ranked list of use cases and a payback estimate. If a use case cannot pay back inside twelve months, we park it.
03
The Dubai pod opens the day and the London pod closes it, giving cover from 06:00 to 18:00 UK time with seven hours of overlap. Something raised late in your day is usually moving by the start of the next.
04
A client portal with live scope, timeline, approvals, invoices and performance dashboards. You can see the state of the work without asking.
05
Repositories, ad accounts, domains, hosting and data are in your name from day one, and the work we create for you becomes yours on payment in full. Leaving us should be boring.
The whole point of the name
Most businesses buy the website from one agency, the marketing from another, and are now being sold AI by a third. Each supplier is competent. Each dashboard shows them winning. And the problem that is actually costing money — usually somewhere between the ad, the landing page and the follow-up — belongs to nobody.
One team
Web, growth and AI planned together by the same pod, so the joins are somebody's job.
One number
Success metrics agreed at kickoff and reviewed against them quarterly. Not three dashboards.
One contract
Scope, ownership, data handling and the AI policy in a single agreement you can read.
Ninety days' notice, both ways — so it has to keep being worth it.
How AI actually pays
Nobody can tell you what AI is worth to your business from the outside. So we spend two to three weeks finding out, and hand you a ranked list with the workings shown — including the use cases we think you should not build.
For a week we watch the business as it actually runs. We export tickets, emails, CRM notes and the spreadsheets nobody admits to. Remote, and quiet.
Volume, minutes per instance, how rule-based it is, and what a mistake costs. Four numbers, applied consistently, so the ranking is not a matter of taste.
What exists, what is inconsistent, what has to be cleaned before anything can be built on it. This is where most AI projects quietly die.
Five to ten candidates, each with estimated hours saved or revenue gained, a build cost, and a risk rating. In writing, with the workings shown.
Anything without payback inside twelve months gets parked, including things we would enjoy building. Pilots run four to six weeks at a fixed price against an agreed metric.
Sample output — an audit runs these numbers on your business
“Hi, we are a 40-person facilities firm in Dubai. Our site is old and we get maybe 6 enquiries a month. Do you do this kind of work?”
Enriched the company from its domain, matched it to the professional-services segment, scored it 82/100 against the fit rules, drafted a reply that answers the question and offers two call slots, and put it in the human review queue.
Approved with one edit at 07:02, ten hours after the enquiry arrived — with the draft already written and waiting.
An agent in the middle of its job
A new agent starts in a human review queue. It earns autonomy by clearing an agreed score on an evaluation set of 50–200 real examples from your own records — not by a decision taken in a meeting.
Engagements
How we work
Discovery is written down and signed off before design starts. Every approval is logged against the thing it approved. You can see the state of the work without asking anyone.

Stage 01
Structured asynchronous workshops in Miro and Loom, plus one or two live sessions.

Stage 02
Figma with comment-based review.

Stage 03
Continuously updated staging URLs.

Stage 04
A go-live checklist covering analytics, SEO, accessibility, security and legal pages.

Stage 05
Retainer work with live dashboards and a short monthly narrative written by a person.
London · Dubai

Headquarters

GCC office
In UK winter the Dubai day starts an hour earlier again, at 05:00 GMT.
Free tools
Free · 12 questions
Twelve questions across data, processes, team and governance. You get a score, a band, and a ranked view of where to start — scored in your browser, with nothing sent anywhere.
Take the assessmentFree · 2 minutes
Put in volume, handling time, review time and build cost. Get the payback period, the hours removed and the twelve-month net position — the arithmetic we apply before agreeing to build anything.
Run the numbersFree · instant
See how a title and meta description actually render in search results, measured in pixels rather than characters, on both desktop and mobile. Character counters mislead; this does not.
Preview a snippetFree · one working day
Send us a URL and we run the same checks we use at the start of every engagement — Core Web Vitals, technical SEO, WCAG 2.2 AA and security headers — then email the findings with what to fix first.
Request the checkInsights
Next step
Thirty minutes, no deck. We will tell you what we would do first, what it costs, and whether we are the right people for it.