AI Glasses Pilot & Workflow Design Guide

AI-native smart glasses projects tend to succeed or stall based on how the pilot is scoped, not on the hardware itself. This guide covers how to design a pilot that produces a clear go/no-go decision.

1) Pick one workflow, not the whole operation

- Choose a single high-frequency process — a repair type, an inspection route, an onboarding task — rather than trying to cover every use case at once

- A narrow pilot with 5-20 units and a 2-4 week window is easier to evaluate than a broad rollout with unclear scope

- Document the current (pre-AI) version of that workflow so the comparison has a real baseline

2) Prepare the inputs the AI needs

- Existing SOPs or job aids for the chosen workflow, even if informal

- 10-30 real examples of typical issues or edge cases from that workflow

- Site conditions: network reliability, ambient noise, and lighting where the glasses will be used

- Working language(s) and any terminology that needs a custom vocabulary

3) Define roles, data boundaries, and system connections

- Who needs to see live feeds vs. only session summaries

- Whether facial recognition, audio recording, or cross-border data transfer applies, and what local privacy review is required

- Which target systems (ticketing, CRM, MES) the pilot needs to read from or write to, even if only a stub integration for the pilot phase

4) Set acceptance metrics before the pilot starts

- First-time-fix rate, average handling time, number of remote-expert escalations, SOP completion rate, and user satisfaction are common metrics

- Agree on the minimum improvement that would justify moving to full deployment, before the pilot begins — not after reviewing results

- Plan a short retrospective with pilot users, not just a metrics review, since adoption friction is often qualitative

Pilots that start with a single defined workflow and pre-agreed metrics are far easier to convert into a deployment decision than pilots that begin as an open-ended hardware trial.

Evidence boundary: the figures and examples in this article are planning references based on internal project templates, partner enablement material, or anonymized deployment notes. They should be confirmed against the latest SKU datasheets, certification files, installation records, and commercial quotation before being used as a contractual commitment.