Remote Expertise — Research Brief | Trifork
Research Brief · 2026

Remote Expertise: The Case for Not Flying Anyone In

What the research shows about remote guidance and AI trained on your own protocols — and what it means for aviation, energy, and healthcare teams.

Read the findings Prepared by Trifork · 13 references
The numbers at a glance

What the research found.

66
Surgical studies reviewed
Outcomes matched in-person mentoring; no safety degradation
53%
Fewer maintenance errors
USAF study — AR-guided technicians vs. traditional methods
3.8M
New manufacturing workers by 2033
Roughly half of those skilled roles have no pipeline today
40%
Eligible to retire this decade
Only 3% of companies capture that knowledge before it leaves
The Problem

The problem isn’t new.

Aviation, energy, healthcare, and manufacturing all run into the same wall: there aren’t many people who can do the hard version of the job well, moving them around is expensive, and the ones who can do it are getting older, not younger.

For a long time, the only fix was to physically move people. Fly the expert to the site. Fly the trainee to the expert. Wait until someone qualified is free. That constraint — not the cost of any particular technology — is what actually drives training and support costs in high-consequence work.

Two things are changing that now, and they work differently:

A. Live expert
A live expert who sees exactly what you see and guides you through the task in real time, from wherever they happen to be.
B. Trained system
A closed AI system, trained on your own protocols, documentation, and call history, that answers the way your most experienced person would — any time.

Both get expertise to the job without getting the expert on a plane.

Telementoring

What the surgery data shows.

Surgery is the most studied version of this, because surgeons have been mentoring each other remotely for years and someone finally wrote it down.

Doctors and nurses performing surgery in an operating roomSurgery
66studies reviewed

A review covering 66 studies, mostly general surgery and urology, found remote mentoring held up. Outcomes were comparable to in-person mentoring, and patient safety didn’t get worse in any of them. That’s a fair basis for treating remote mentoring as a real substitute for physical presence — not a compromise.

Audio alone is bad at this job. The platforms that perform well let the remote expert draw directly onto the operating field in three dimensions. Tested on first responders performing a simulated emergency airway procedure, AR-based visual guidance beat audio-only on both speed and technique.

Aircraft maintenance technician in a safety vest working under a planeAviation
53%fewer errors

The U.S. Air Force ran the same test on aircraft maintenance. Technicians using an AR platform made 53% fewer errors and discrepancies. Technicians relying on traditional methods installed parts incorrectly 57% more often. Task time was roughly the same — the accuracy gain didn’t cost anyone speed.

The same setup already runs commercially for aircraft-on-ground situations: a remote expert walks a field engineer through a fix over live video instead of everyone waiting for a specialist to show up.

Utility linemen working on power lines from bucket trucksEnergy & Utilities
0truck rolls needed

Linemen and substation technicians are doing the same thing with smart glasses. Hit something unfamiliar, start a video call, the remote expert sees exactly what the technician sees, and the fix happens on the spot instead of after a truck roll.

For work at height or near live equipment, that also means fewer people standing in the dangerous spot to begin with.

The key distinction

A phone call tells someone what to do. A shared video feed lets the expert show them, at the exact spot, in real time. That’s the difference between remote advice and remote expertise.

The other kind of expert

An AI trained on what you already know.

3.8M
new manufacturing workers by 2033
~1.9M
roles with no clear pipeline
~40%
eligible to retire this decade
3%
good at capturing that knowledge

The usual fix has been documentation: write down the procedure before the expert leaves. It’s never really worked, because the useful part of expertise isn’t the procedure. It’s the judgment call, the workaround nobody wrote down, the reason a tolerance is set where it is. Manuals capture the formal steps and miss almost everything else.

A system trained specifically on an organization’s own material can do something a manual can’t: hold onto the reasoning behind a decision, not just the decision. Recent research found that conversational AI can lower the cost and skill barrier to documenting a process properly — so organizations can keep what they know even as the people who know it move on.

This isn’t a general-purpose chatbot with an opinion on everything. It’s a closed system that only knows what an organization has told it: its documentation, its call recordings, its protocols. That narrow scope is the point — and what makes it safe to put in front of someone doing procedural, high-consequence work.
Synthesis

Practice and expertise, together.

Learning by doing puts a skill in someone’s hands before the moment they need it. Remote expertise puts the expert in the room — a person or a trained system — once that moment has already started. Neither replaces the other. The strongest training programs in aviation, energy, and healthcare already run both.

Where this leaves Trifork

Tandem does the first half. Session Recording starts the second.

Built on Apple Vision Pro, Tandem lets a remote expert see exactly what a field technician sees and draw directly into their field of view, hands-free, while the work is happening. Same mechanism as the surgical and aviation research above — already running in manufacturing, field service, logistics, oil and gas, and aviation.

01Faster fixes — the expert is there instantly
02Better first-time fix rates — spatial annotation beats verbal
03Faster training on real repairs, not after them
04One expert covering multiple sites

Session Recording is where this connects to the second half. Every recorded session is a record of how an expert actually solved something — the same knowledge the workforce data says organizations are losing. The roadmap points this direction, with AI agents and model customization planned alongside the live-expert product.

Field technicians collaborating with a remote expert Live Session — Tandem