Insights · Guide

Four reasons to integrate AR and AI into your LMS strategy

28 May 2026Mark Taggart2 min read
In short

Augmented reality and AI make hands-on training safer, faster and repeatable: learners are guided step by step on the job, rely less on memory, and their competence is recorded as evidence. Use cases range from machine operators and vehicle technicians to scaling a workforce of 1,000 certified forklift drivers.

Four reasons to integrate AR and AI into your LMS strategy (Skills Velocity guide)

User experience is the future of workplace learning, and AR and AI are what turn hands-on training from a memory test into a guided, enjoyable experience. With staff turnover now the norm, losing experienced machine operators and engineers is painful and expensive. AR lets new starters largely self-serve their onboarding instead.

What are the benefits of AR and AI in training?

  1. Lower risk, higher consistency. Especially in complex or dangerous tasks, every learner follows best practice.
  2. Faster time to effectiveness, and a more enjoyable experience along the way.
  3. Less reliance on memory. The next step is in front of you when you need it.
  4. Build once, reuse forever. Hands-on training becomes cost-effective to deploy across sites and shifts.

What does AR training look like in practice?

Take vehicle technicians learning a repair process on HoloLens:

  1. Teach. The process and best practice are taught with video, audio and slides, with user guides and detail such as torque settings at hand.
  2. Show. The technician is shown where to go and what to do, in the right order.
  3. Do. The technician performs the task, recorded if needed.

AI processes the recording and data from the vision system. Over time the instructions fade as learners move from consciously to unconsciously competent. Progress is tracked as evidence of competence and adherence, and certification is issued once the standard is met.

Who uses AR and AI training?

Our clients asked for more hands-on, interactive training, including:

  • machine and robot operators
  • technicians and engineers
  • casino croupiers
  • forklift truck drivers, to scale a workforce of 1,000 certified drivers
  • field support teams giving remote, visually aided support
  • people carrying out dangerous work processes

Why it works

Subject matter experts create the content themselves, so best practice spreads as standard. Learners move at their own pace, and you keep a tracked, verifiable record of competence, which also helps with security and anti-cheating.

Today this capability lives in NSFlow: record the job on smart glasses or a phone, talk to camera, and get translated, step-by-step workflows in minutes. Pair it with Remote Expert for live help and Compliance+ for evidence. Book a demonstration.

FAQ

Common questions

Why use AR in workplace training?

AR guides people step by step while they do the real task, which lowers risk, improves consistency, speeds up competence and reduces reliance on memory.

What does AI add to AR training?

AI processes recordings and vision-system data, fades instructions as the learner improves, and records progress as evidence of competence.

Which roles benefit from AR training?

Machine and robot operators, technicians, engineers, forklift drivers, field support teams, casino croupiers and anyone doing complex or dangerous work.

Which devices does AR training use?

Smart glasses such as HoloLens, RealWear and Vuzix, as well as phones and tablets.