.ai
the business engineering company
We fix the work. Then we build the system.
.aiWe fix the work. Then we build the system.
Every enterprise now knows what AI could do. We exist for the harder part — making it true inside your operations.
Consultancies hand you a strategy. Software shops hand you a build. The value leaks in the gap between the two, and that gap is where we work. We think the problem all the way through and then we ship the thing that fixes it. Our people are strategists and engineers in the same room, which is rarer than it sounds. We look at the whole business and we look at the one field nobody fills in correctly, because the answer usually lives in both places at once.
The argument · 01
Every large enterprise owns access to frontier intelligence. Most also own a portfolio of pilots that never reached production. When the same capable model succeeds in one company and stalls in another, the variable is not the model.
This is not really an argument, it is arithmetic. Frontier intelligence is now cheap and everywhere. Somewhere sensible to put it is the scarce thing, and building that place is the work.
The inheritance · 02
One of them shows how the company really runs: every handoff, every queue, every exception, every loop where work goes back to be redone. The other one gets updated when somebody is promoted.
Approval chains survive because memos once moved by hand. Handoffs survive because departments once kept their own ledgers. None of it was designed on purpose. All of it was inherited, and most of it is still running.
The inversion · 03
Drop a capable model into a process nobody has examined and it will follow that process perfectly. The pointless step gets done beautifully. The handoff that should not exist now happens at machine speed.
So we go the other way round. First we take steps out. We rebuild the workflow around what the function is actually for, and only then does the model go in, into a process that was built to receive it.
AI adoption is not the project. It is the consequence.
Who does the work
The people in your building are senior. They map the work, run the Friday demo, and answer for the result to your face. Behind them sits our engineering bench across eleven countries, so the build keeps moving overnight and the morning demo already contains the night's progress. This is one squad on one clock, not a hand-off to a call centre.
Every squad also brings agent coworkers, trained on the patterns we've already proven and put to work inside the team. People rotate off; the agents stay on your account and get sharper each quarter. You start with everything we have ever learned, and you keep it.
On your process: you keep the map, the method, and the agents we build on your account. The knowledge stays with you. That is the point, and it is what makes us safe to let in.
Senior attention that still scales.
The method · evlos
The discipline behind every engagement. Process first, technology second, and no stage begins until the last one has cleared its gate.
Read the process as it truly runs. Agree on the real problem, and on the number that matters.
Lock the baseline, co-signed. Redesign the work; prove the approach before scale.
Ship the new design into production. Usable evidence, live, in weeks.
Tune until the metric moves. Then prove it moved, from your own systems.
Extend what worked and hand it over, so it runs without heroics.
Consulting ran a century on the honor system. We thought we'd try arithmetic.
How an engagement runs
Here is what actually happens, and who does it. No mystery, no black box. You will recognise the people in the room and you will know, at every step, what they are accountable for.
An Outcome Architect and a process engineer sit inside the function and watch how the work really moves. You get a ranked list of what the process could produce, each item with a number we would stand behind. This map is yours whether or not we go further.
A verification lead, who does not answer to the people paid on the result, locks the starting number with you and agrees how we will tell what we caused. Nothing gets billed as an outcome until it is proven as one.
Engineers redesign the workflow and put the first working version into production, usually in weeks. The first review has your data on a screen, not a slide about it.
We tune until the number moves, then read the result from your own systems. An outcome manager keeps the whole thing pointed at the goal and stays your single point of contact.
What worked gets extended and handed over. Your people can run it, and the agents we built stay on your account. We leave; the capability does not.
The record
These are real engagements, delivered by the same people, under the Searce name. The record came before the brand did. Every new piece of work runs on the same terms: we agree the starting number with you before we build, and we read the result from your systems afterward, where your own auditors can check it.
Twenty-nine steps existed to move paper between departments that no longer exist. They were removed before a single model was deployed. Adjusters now rule on judgement, not routing.
The close was slow because the process asked people to reconcile what systems should never have separated. The redesign removed the reconciliation; the models keep it removed.
Clinical judgement retained on 17 percent of cases — by design, rather than by backlog. Denial-appeal cycle time fell with the queue.
Underwriters were assembling files, not underwriting them. The assembly is now performed by systems; the opinion remains human, and arrives the same morning.
Resolution measured at the customer's second contact, not the first reply. Override authority sits with the agent, permanently.
Most exceptions were exceptions to rules nobody could defend. The rules were rewritten first. What remained genuinely required a person — and now reaches one immediately.
The standing
Every verified engagement adds to a growing picture of what cycle times, deflection rates, and cost-to-serve really look like across companies. Where we have enough data, we will show you where you sit against that range, under NDA. Being told you are at the 40th percentile on claims cycle time is the kind of thing a CEO remembers.
We agree the starting number before we begin, and we read the result from your systems, where your audit committee can check it. It is an odd promise for a firm like ours to make, which is exactly why we make it.
Careers · the work you'd do
We are a partnership, and here that word is literal: our people own the accounts they build. You will learn how a real business actually runs, redesign it, and ship the fix with the best models available. The work you do has your name on it and follows you for the rest of your career. You make partner by building a book worth partnering on, not by waiting your turn.
You map the handoffs, queues, and exceptions, then redesign the process before writing a line of code. Technology comes second, every time.
Every engagement leaves something real running in a real enterprise, with your name on it. It follows you forever.
Work across every major model family. This is the one seat that touches all of them, and the workload goes to whichever model earns it.
The first campus cohort of business engineers — capped, named, permanent. Ship inside a live squad from month one.
See the pathAI engineers, forward-deployed engineers, process engineers, solutions architects, transformation consultants, outcome managers.
Explore rolesBuilt the thing others made partner on? The rarer offer — co-found the institution, by invitation. Begins with a working session.
Enquire — foundingThe full path, the economics, and the ways in live on the join page. We read work, not resumes.
Ways to begin
Three ways to buy the truth about your own company. Each one fits inside a single executive's budget: a fixed fee, a few weeks, read-only access to your systems. Whatever we find is yours to keep.
You have an org chart. We'll draw the other one — how a core process actually runs: every handoff, queue, exception, and leak, mapped from observation. It tends to end up on a wall.
Before you buy anything from us — let's verify what your existing AI spend is returning. Every initiative gets a baseline, a reading, and a verdict. Keep what pays. Stop what doesn't.
Three of your operating metrics, placed against the measured range from verified engagements — not survey data. Offered only where our corpus genuinely supports it, which is precisely why it's worth having.
We work with companies where one process holds at least $20M in addressable value, where the systems of record can be read within thirty days, and where the CEO, the CFO, and one system owner can be in a room. If that's you, this will be the fastest partnership you've ever formed. If it isn't, we'll say so in the first call — politely, and in writing.
Tell us the metric that matters. One process, one quarter, three signatures.
Bring your numberWorking software only, demoed firm-wide. Ask for a seat while a squad ships.
Ask for a seatOwn an account at 28. The path, the roles, and the founding seats.
See careersFor platform teams: your customer made a commitment. We make it perform. If you're a cloud or frontier-lab team with an account that needs outcomes, bring us in — partners@futurify.ai.