We are an AI consultancy for companies from $5M in revenue. We agree the number the system has to hit, prove it on your own data, and only then do you pay to build it.
Most AI consulting is sold on a slide deck and settled on trust. You pay for discovery, you pay for a build, and the question of whether the thing actually pays gets answered months later, long after the invoice cleared. We run it the other way round. Before you commit to a build, we agree the number the system has to hit, then we go and hit it on your data.
The proof stage is a small working version of the system, run against your own records rather than a curated demo set. It has to be right on your jobs, hold at your volume, survive the messy ones with missing details and odd formats, and cost less per unit of work than the process it replaces. Each of those is scored against a figure fixed before the run starts.
If it clears, you buy the build with the risk already taken out of it. If it fails, you do not buy anything. That is the differentiator, and it is uncomfortable to offer, which is why almost nobody in this market offers it.
We sell six things. AI opportunity mapping finds where AI earns its place in your operation, sizes what it is worth, and sequences the build against it. Revenue systems engineering takes the path from enquiry to booked revenue and instruments it, so an enquiry is answered in seconds, qualified against your criteria, and routed to the person who closes it.
Pricing and quoting engines price off your own book, with the arithmetic deliberately kept away from the model, so the system flags what it is unsure of instead of inventing a number. Outbound and pipeline engineering runs the targeting, the sequences and the call layer as one system, for companies where a single deal is worth six figures. Automations and document intelligence reads the paperwork your team retypes between systems, checks it, and actions it, with a person on anything flagged.
AI lead generation starts with the cheapest pipeline a business owns, which is the list it already paid for. The dormant database is reactivated, an AI sales agent works every reply, qualifies it and books it, and the team only ever speaks to people worth speaking to.
We work with owner-led and operator-led companies from roughly $5M in annual revenue, across the UK, Ireland, the United States and Australia. Most enquiries for an AI consultancy in the UK come out of London and the South East, and the work runs remotely regardless of postcode, because the systems live in your tools rather than in a room.
That size band is deliberate. Below it, the bottleneck usually costs less than the fix does. Well above it, the decision travels through a procurement process that turns a six week build into a six month one. In between sits a company where a missed enquiry or a two hour quoting job carries an obvious price, and where one person can still say yes.
We are not a research lab and we are not a reseller. Proven By Data is a trading name of Only Big Jobs LLC, and we run the same class of systems inside businesses we answer to every month. That is the reason we can tell you which work AI pays for and which work it quietly makes worse.
Four of those systems are live now. The Quoter reads an inspection report or a Spanish voice note, prices every line off the client's own book, and flags what needs a human. The Setter answers, qualifies and books every enquiry within seconds of it arriving, working the phone, the forms and the inbox as one queue. The Meeting Machine puts partnership conversations straight into a founder's calendar at a software company whose growth had been entirely warm introductions. The Tracking Layer rebuilt conversion tracking end to end across a proprietary trading firm's funnel, so every unit of spend could be traced to the customer it actually produced.
None of it is a chatbot bolted onto a website. Every build is wired into the tools you already use, keeps a human in front of anything that reaches a customer, and is handed over so your team can run it without us.
We map where the money leaks today, score what AI would actually recover, and rank it against what it costs to build.
We build the smallest working version, run it against your data rather than a demo, and score it on the numbers agreed beforehand.
We wire it into the tools you already use, put a human in front of anything customer facing, and deploy it so it stays up without you.
We track it against the baseline agreed at the start, fix what drifts, and expand only where the evidence says to.
Nothing here is sold as a silo. Most engagements start with one of these and pull in the next once the first is paying for itself.
Half an hour with a founder, not a sales rep. We tell you straight whether a machine fixes this, what it would cost, and what it would return.
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