AI Applied Radar: AI Applied To Frontline Workers

Executive Summary

The use of AI in frontline operations is moving from experimentation to practical deployment, but buyers face uncertainty over what is truly ready to scale. This report provides a comprehensive assessment of AI use cases supporting field and frontline workers, evaluating each for trustworthiness at scale, operational viability and business impact. The analysis differentiates between mainstream deployments – for example, work-order copilots, predictive maintenance for technicians, computer vision for safety and AI for smart dispatch – and maturing pilot-phase capabilities, such as AI-generated instructions, adaptive training, automated risk assessment and hands-free voice AI. It also highlights two early-stage concepts – semantic shift intelligence and proximity-alert systems – that show promise, but require more reliable data, stronger integration and clearer return on investment (ROI). This AI Applied Radar analysis maps the maturity of these technologies, equipping operations, EHS and field-service leaders with a decision framework to prioritize investments, accelerate high-impact use cases and avoid unscalable proofs of concept.