We are an AI agency working with Irish companies from around €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 work in Ireland is sold on a deck and settled on trust. You pay for discovery, you pay for a build, and whether the thing earns its keep gets answered months later. 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 own records.
The proof stage is a small working version of the system, run against your jobs rather than a curated demo set. It has to be right on your work, 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. If it fails, you do not buy anything. That is uncomfortable to offer, which is why very few firms offer it.
The Irish market for AI services filled up quickly, and most of it is one of three things. A software licence with a services wrapper. A prompt written into a tool you already pay for. Or a pilot with no defined finish line, billed monthly until somebody calls it. None are wrong in themselves, but none put the vendor on the hook for the outcome.
Three questions separate the rest. What number does this system have to hit, and who agreed it. What happens to the fee if it misses. And who runs it once the agency leaves. Anyone who cannot answer the second is selling effort, not a result.
Our answers sit on the page. The number is agreed with you before the work starts. The build is not billed until the proof clears it. And the system is handed over wired into the tools your team already uses, documented, so it keeps running without a retainer.
AI opportunity mapping is business consulting first. We find where AI earns its place in your operation, size what it is worth in euro, and sequence the build against it, which sometimes means the first idea on your list is the third one to build.
Revenue systems engineering instruments the path from enquiry to booked revenue, 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.
We work with owner-led companies from around €5m in annual revenue, across Ireland, the UK, the United States and Australia. Most Irish enquiries come out of Dublin and the commuter belt, and the work runs remotely wherever you are, because the systems live in your tools rather than in a room. Irish construction and trade businesses are among the companies these systems run in, including Eamonn Tyrrell Builders and GLA Construction and Renovation.
Four builds are running 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. The Tracking Layer rebuilt conversion tracking across a trading firm's funnel, so every euro of spend could be traced to the customer it actually produced.
Proven By Data is a trading name of Only Big Jobs LLC. We run the same class of systems inside businesses we answer to every month, which is why we can tell you which work AI pays for and which work it quietly makes worse.
We map where the money leaks today, score what AI would recover in euro, and rank it against what it costs to build.
We build the smallest working version, run it against your own records rather than a demo, and score it on the numbers agreed beforehand.
We wire it into the tools your team already uses, put a human in front of anything a customer sees, 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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