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Why AR is failing your field techs (and how to fix it)

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Assisted reality (AR) was supposed to transform service.

Headsets, overlays, and holographic arrows.

Huh?

I’m talking about AR. 

Sure, the promise was clear with these tools: technicians should be able to work smarter, faster, and with fewer mistakes.

But here’s the dirty secret nobody talks about: in most service organizations, AR guidance isn’t tied to performance.

The result? 

Techs waste time. Supervisors can’t prove compliance. And KPIs like first-time fix rate or mean time to repair (MTTR) don’t move.

The promise of AR — and the reality

When AR entered the field service playbook, it looked like the perfect solution. 

Instead of flipping through PDFs or calling support, techs could “see” instructions directly in their line of sight.

But here’s what actually happens:

  • Instructions are static and generic.
  • No system tracks whether steps were followed.
  • If something goes wrong, the only option is escalation.
  • Performance metrics don’t improve, because the data isn’t connected.

Without integration into task execution, AR becomes another shiny tool that looks good in a demo but falls short in the field.

Why static AR fails service KPIs

Disconnected AR doesn’t solve the frontline problems that service leaders care about most:

  • First-time fix rates stall. Techs might “see” instructions, but without validation, mistakes still slip through.
  • MTTR creeps up. Every unclear step means another call, another delay, another wasted hour.
  • Escalations spike. Supervisors can’t see what’s happening in real time, so they get involved too late.
  • Rework costs pile up. A fix that isn’t tracked or validated is a fix regulators — or customers — may not accept.

In other words: AR without accountability isn’t performance. It’s pageantry.

What AR looks like when it’s connected

This is where Atheer changes the game. Instead of sitting on the sidelines, AR is embedded directly into step-by-step workflows.

Here’s how it works:

  • Embedded AR guidance: Every step in a procedure can include AR overlays — not as “nice-to-haves,” but as required guidance.
  • Task tracking: Progress is logged in real time, with timestamps, validation checks, and usage data.
  • Feedback loop: Supervisors see exactly where a tech is stuck and can guide them live, in context.
  • Performance linkage: Because every step is tied to a KPI, AR isn’t just a visual aid — it’s part of the compliance and performance record.

Proof in the numbers

When AR is connected to execution, service outcomes look very different:

  • Error rates cut by 70%.
  • Truck rolls down by 90%.
  • Warranty cycle times reduced by 45%.
  • Service resolution times shortened by 40%.

These aren’t “nice-to-haves”. 

These gains are the difference between a service org that bleeds margin and one that drives loyalty and profit.

The new role of AR in automotive service

For automotive OEMs and service networks, this shift is critical. 

Cars are more complex. Customers expect faster fixes. And regulators are less forgiving than ever.

If AR doesn’t improve KPIs, it’s just another tool collecting dust. 

But when AR is tied to execution, you don’t just get flashy overlays — you get validated work, faster resolution, and an audit trail that proves every step was done right, the first time.

Further improving efficiency

That’s the future of AR in automotive service: not spectacle, but accountability.

The takeaway for service leaders

If your AR solution isn’t connected to execution, you’re not solving the problem. 

You’re watching it in higher definition.

Atheer makes AR actionable — embedding it in workflows, tying it to outcomes, and proving its impact on performance.

author:
Atheer
category:
AI/AR & Digital Transformation

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