AI-Powered Field Service Assistant for Technicians and Maintenance Crews

Field service teams face fragmented manuals, diagnostic guesswork, and paperwork that slows resolutions and increases errors in remote or complex environments. Dedicatted's GenAI Field Service Assistant deploys as an AWS-native mobile/web app, leveraging Bedrock for multimodal AI (voice, image, text) to deliver step-by-step guidance, predictive troubleshooting, and automated reporting. The solution integrates with EAM/CMMS systems like Maximo or IFS to pull asset history and push updates, ensuring hands-free operation even offline

• AR/VR overlays for repairs on equipment like turbines, HVAC, or vehicles.
• Voice-activated diagnostics from symptoms, photos, or IoT sensor data.
• Auto-generated work orders, parts lists, and compliance reports with timestamps/photos.
• Centralized knowledge base updated from resolved tickets for continuous learning.

• Real-time diagnostics: Upload equipment photo or describe issue; AI cross-references manuals, past tickets, and sensor data to suggest likely root causes (for example, "vibration anomaly indicates bearing failure") for the technician to confirm.
• Step-by-step guidance: Generates AR instructions via mobile camera (e.g., "align torque wrench here") or voice narration, adapting to user skill level.
• Predictive maintenance: Analyzes usage patterns and IoT feeds to flag impending failures before dispatch.
• Hands-free documentation: Voice-to-text notes, auto-populated forms, and photo analysis for parts identification; exports to PDF/ERP.
• Offline mode: Syncs when connected; multilingual support for global crews.

Field teams aim to complete jobs faster and fix more issues on the first visit, cutting travel, overtime and repeat visits, with targets agreed at kickoff. Proactive alerts support asset uptime, and every job keeps a full audit trail.

Dedicatted holds the AWS AI Services Competency.