How should we prioritize AR and wearables in our digital roadmap?

AR and wearables can be valuable, but in regulated, long-lifecycle environments they should almost never be the first or primary pillar of a digital roadmap. They are presentation and interaction layers that sit on top of core capabilities like digital work instructions, validated data flows, and change control.

Start from problems, not from devices

Prioritize AR and wearables only when they directly address a clearly defined, high-cost problem. Typical justifications that hold up under scrutiny include:

• Complex, variable assembly or MRO tasks where wiring, routing, torques, or repair schemes are error-prone and current paper/PDF instructions are a known source of rework or escapes.
• Remote expert support for troubleshooting or MRB-like evaluations where travel time, delay, or expertise scarcity is a real bottleneck.
• Hands-busy, safety-critical tasks where an operator truly cannot reference a tablet or terminal without introducing risk or losing significant time.
• Training and cross-skilling in areas with high onboarding or qualification cost, where repeatable on-the-job guidance can reduce time to proficiency without compromising traceability.

If you cannot tie AR/wearables to a measurable issue like scrap, rework, NCR rate, training time, or planned/unplanned downtime, they are likely a distraction in the near term.

Prerequisites before large AR / wearables investment

Most aerospace-grade and regulated plants need several foundations in place before scaling AR or wearables. Without these, pilots may look promising but stall at production scale:

• Digital work instructions and standard work already deployed in some form (e.g., tablets or terminals), with a functioning approvals and version control process.
• Device management and identity: ability to manage software versions, user access, and encryption for mobile or edge devices across sites, with IT and OT roles clearly defined.
• Security and export control alignment: clear policies for cameras, microphones, and outward streaming of shop-floor content, especially under ITAR/DFARS or similar controls.
• Change control and validation: a path to validate AR content and workflows and to tie them into existing document control, training records, and process qualification.
• Stable core systems: reasonably reliable MES/ERP/PLM/QMS interfaces so AR devices are not the primary system of record.

Without these, AR and wearables can increase complexity, create parallel processes, and introduce audit gaps.

Where AR and wearables typically fit in the roadmap

In most brownfield environments, AR and wearables are a second- or third-wave capability rather than the first transformation step:

1. Stabilize data and processes
   • Digitize work instructions (on fixed or mobile terminals).
   • Improve document control, training records, and electronic signoffs.
   • Ensure traceability and genealogy are reliable at the part/order level.
2. Optimize workflows and eliminate obvious waste
   • Reduce non-value-add travel to terminals, paper chases, and tribal knowledge bottlenecks.
   • Address glaring UI/UX issues in existing systems that cause workarounds.
3. Layer AR / wearables where the interaction model matters
   • Add AR visual guidance or remote assist for the highest risk or most complex stations.
   • Use wearables selectively for hands-free operations where tablets truly won’t work.
   • Integrate with existing MES / digital WI rather than bypassing them.

This approach reduces the chance that AR becomes an isolated pilot that cannot be scaled or audited.

Key tradeoffs to consider

When deciding priority and scope, weigh the following tradeoffs explicitly:

• Ergonomics vs. adoption: Some operators will reject head-mounted displays due to discomfort, eye strain, or PPE conflicts. Tablets or fixed HMIs may be more acceptable even if less “advanced.”
• Battery life vs. shift patterns: Wearables must align with shift lengths and cleanroom or FOD constraints. Frequent charging or device swaps can introduce failure modes.
• Security and export control vs. remote collaboration: Live video and cloud services can conflict with ITAR/DFARS or customer data-handling requirements. Mitigations (on-prem, restricted views, redaction) add cost and complexity.
• Validation effort vs. flexibility: Every new way of presenting work instructions or capturing evidence can trigger validation, training, and SOP updates. Over-frequent change can overwhelm quality and training teams.
• Long equipment lifecycle vs. short device lifecycle: Aircraft platforms, complex tooling, and qualification artifacts may last decades; AR devices may be obsolete in a few years. Your roadmap should assume multiple hardware generations and avoid device-specific lock-in.

Coexistence with existing MES, QMS, and PLM

In brownfield environments, AR and wearables should be consumers and collectors of information, not new systems of record:

• Use AR to display existing, approved work instructions and routings sourced from your MES/PLM, rather than maintaining a separate AR-only content stack for production-critical processes.
• Route signoffs, defect logging, and measurement data back into your MES/QMS, so traceability, training, and audit trails remain centralized.
• Plan for partial deployment: some stations may remain on terminals or paper longer than others due to tooling constraints, customer approvals, or validation timelines.

Full replacement of existing systems with AR-centric platforms typically fails in regulated contexts because of validation burden, integration complexity, downtime risk, and the need to preserve existing evidence trails.

How to prioritize in practical terms

To place AR and wearables correctly in your roadmap, use a structured scoring approach:

1. Inventory candidate use cases
   • Complex assembly steps with high rework or escapes.
   • Long onboarding curves in specialized operations.
   • Remote support needs for field or MRO operations.
   • High-motion-waste tasks where operators constantly walk to terminals.
2. Score each use case on dimensions such as:
   • Impact on cost of poor quality (COPQ), escapes, or turnaround time.
   • Regulatory sensitivity (does it affect evidence or signoffs?).
   • Integration complexity (how many systems touch this workflow?).
   • Operator acceptance likelihood and PPE/ergonomics constraints.
3. Start with constrained pilots
   • Limit to a few stations or specific MRO tasks.
   • Keep AR content small and traceable to existing work instruction revisions.
   • Explicitly track metrics and operator feedback.
4. Decide scale-up gates
   • Define in advance what performance, usability, and compliance thresholds must be met before scaling to additional lines or sites.
   • Include IT, OT, quality, and production leadership in the go/no-go criteria.

Summary

AR and wearables belong in a digital roadmap when they solve clearly quantified problems and sit on top of stable, validated processes and systems. Treat them as targeted accelerators for specific workflows, not as replacements for MES, QMS, or PLM. Prioritize foundations first, then add AR and wearables in the few places where hands-free, visual guidance or remote collaboration will materially reduce defects, delays, or training burden without compromising traceability.