One engine. A coworker built for your business.
A JARVIS Model Coworker is an expert AI coworker, trained on your business and deployed into a single role, with every safeguard built in and a human always in command. Here is what it is, the roles it fills, and exactly how we build yours.
The product
We don’t sell software. We build you a coworker.
Capaciti AHI delivers Augmented Human Intelligence as a Service. In plain terms: we take the expertise that makes your business work — your products, your procedures, the judgment locked in your best people’s heads — and we build it into a coworker that every one of your people can ask, out loud or by typing, right where the work happens.
We call it a JARVIS Model Coworker. One engine underneath, the same in every deployment, carrying every patent-pending safeguard. On top of it, a coworker shaped entirely to you: your vertical, your knowledge, your voice, and one specific role on your team. You don’t buy seats to a tool and hope your people adopt it. You put a coworker into a job, and it shows up trained on day one.
It is priced against the line every operator already understands: the cost and the scarcity of expert people. Not another software subscription nobody opens. A working member of the team, delivered as a service, answerable to a human who keeps the final call.
Meet the Models
You’ll never see JARVIS. This is what its presence looks like.
A JARVIS Model Coworker is invisible by design: your people reach it by voice or a typed question, right where the work happens. These make that presence visible, role by role. The same coworker, dressed for the job, pulling the data your team needs at the moment they need it.
The Counter Coworker
Every product and parts answer in the store’s own voice, with the science to back it, so the newest hire sells like a seasoned one.
The Field Coworker
A master technician’s diagnosis in the ear or the lens, hands-free at the equipment, so the fix happens on the first visit.
The Sales Coworker
The science, the history, the compliance line, and the next best question, ready before the rep reaches the door.
The Showroom Coworker
The right answer to every objection and the spec on every model — the confidence to close the high-ticket sale without a callback.
The Desk Coworker
The policy, the precedent, and the recommended call, sourced and ready at the dispatch or claims desk. The human makes the decision.
The Supervisor
Network health, not a leaderboard of people: where knowledge is thin, which fixes spread, where to steer. Aggregate-only, by design.
You will never actually see her. Your people just talk to JARVIS, and the answer comes back, sourced. The hologram is simply how we picture a coworker that is real, present, and always in service of the human who makes the call.
How every coworker works
Capture. Learn. See. The three things every coworker does.
Whatever role it fills, a JARVIS Model Coworker runs on the same three capabilities. The advantage is that they work as one loop, not three separate tools.
Capture
Harvest what your experts know before it walks out the door. The coworker interviews your veterans, turns hard-won, undocumented know-how into structured, searchable intelligence, and captures every new fix the field discovers.
The knowledge that was trapped in one head, now owned by the business.Learn
Every worker performs like your best, from day one. Expert guidance delivered in plain conversation, by voice or text, adaptive to the role, the task, and the customer standing in front of them.
A twenty-year veteran’s judgment, in every worker’s ear.See
Eyes on the work. Through smart glasses and the camera, the coworker reads the equipment, the water test, the install, and delivers the answer hands-free, at the Moment of Truth.
Not just a voice that knows. A coworker that can look.Capture feeds Learn feeds See, and the field feeds all three. Knowledge captured once is taught to everyone and delivered at the point of work, and the corrections your people make flow straight back in. We call the closed loop the Accretive Learning Machine — patent-pending — and no competitor has assembled all three.
Capture, in action
The expertise, the moment before it walks out the door.
A thirty-year veteran explains a repair he has done a thousand times. As he talks, the coworker turns his spoken know-how into a structured, searchable procedure — so the day he retires, the knowledge stays with the business.
That captured knowledge becomes what every other coworker teaches, and what the next new hire learns from on day one. The loop starts here.
On shift, in the real world
The same models, where the work actually happens.
Not a demo on a laptop. A coworker in the field, at the counter, in the truck, and on the road, on whatever device the work allows. Phone, tablet, smart glasses, or a voice in the ear.
Smart glasses
Tablet
Smartphone
Smart glasses
Smartphone
Dashboard
Where the work happens
Your best expert, on every shift.
What’s inside every coworker
Seven things, built into every deployment, on the same engine.
However we shape the role, this is what you are actually getting underneath. It is the part that makes a coworker a coworker, and not a chatbot in a costume.
Expertise on demand
Your best expert’s judgment, on tap, every shift, for every worker. The twenty-year veteran, available to the second-year, everywhere at once.
Trained on your business
Your products, procedures, and field knowledge, curated into your own knowledge vault, never the open internet. Every answer carries its sources, so your people can check the work.
The conversation is the interface
Ask in plain language, by voice or text, and get a sourced answer in seconds. No portal nobody opens, no menu to learn.
The knowledge loop
When one worker solves something new, the fix is captured, validated by a human gate, and taught to the whole network. Every person makes the next one better.
Network IQ, no surveillance
Aggregate-only signal on where knowledge is thin and which procedures get used. You steer the network without ever surveilling the worker.
Earned autonomy, human above the loop
The coworker earns autonomy in measured steps on its reliability record, and gives it back when the record slips. The human holds the call.
It lands at the Edge
One workflow, owner-sponsored, proven beside the existing operation before it scales. The method that gets it past a company’s immune system. See the Edge →
Why it works
Make expertise abundant, and an old-economy business gets onto a new-economy curve.
For a business made of trucks, inventory, and skilled people, the scarce resource was never compute or capital. It was expertise: the master technician’s ear, the veteran rep’s judgment, the knowledge that retires out the door every spring. Make that abundant, on every shift, for every worker, and the same operation does far more with the people it already has.
That is the whole bet, and it is the opposite of the one most of the industry made. They aimed the technology at the headcount line. We aim it at the work. The machine keeps getting smarter because your people never stop teaching it, and a workforce that is augmented feeds the system instead of fearing it. That is the only version that compounds.
The path most of the industry took
Replace the human
Treat labour as a cost to delete and automate the person, not the toil. The result is on record: workforces that fight the rollout, quality that craters, and the institutional knowledge you were trying to capture walking straight out the door.
The path we build
Augment the human
Treat the worker as the asset and the toil as the target. Give a second-year the judgment of a twenty-year veteran, capture what the veterans know before they retire, and every person performs like your best. The value of their work compounds instead of collapsing.
A note on the thinking, for those who want it
Kin to the exponential idea. Opposite engine.
If you know Salim Ismail’s work on Exponential Organizations, you will recognize the ambition here: reaching abundance to grow on a different curve than your peers. We owe that framework a real debt, and we build on it in earnest. Our one departure is also the whole point. Where the original playbook reaches abundance by dematerializing assets and thinning headcount, we reach it by multiplying the expertise of the people you already have. The framework’s lineage is theirs. The decision to augment people rather than replace them is ours.
You do not need to know any of that to put a coworker to work. It is here for the strategists who like to know where an idea comes from.
Put a coworker to work
Find the role where a coworker proves itself first.
The ten-minute Readiness Assessment maps your operation and finds the one workflow where a JARVIS Model Coworker earns its place, with the two numbers your business case needs.