AI can improve field technician productivity by bringing troubleshooting guidance, service information, and documentation support into existing workflows. Making these capabilities accessible through familiar tools can reduce searches, duplicate entry, and application switching while helping technicians prepare for visits and complete service work more efficiently.

At the 2026 Service Next Medical event, Fernando Morales, Vice President, Surgical & OR Integration United States at Karl Storz, described how intelligent search helped teams access expertise spread across a large product portfolio. Frontline ownership among technicians was central to adoption: "This is specifically made for them. They embrace it. They care for it. They keep the documentation clean." His experience highlights the importance of involving technicians in maintaining the knowledge they rely on, alongside making that knowledge easier to find.

Another 2026 conference discussion described how AI-assisted parts lookup helped coordinators identify components and arrange shipment before field engineers arrived. Connecting information retrieval with parts preparation gave technicians a better starting point for the visit and supported first-time resolution.

Begin by mapping one technician workflow, from assignment through service reporting, and identify where employees repeat tasks or leave their primary application to find information. Pilot an integrated capability at one high-friction step, such as retrieving troubleshooting guidance or drafting case notes, and involve technicians in testing its accuracy and accessibility. Track task completion time, documentation quality, repeat visits, and adoption, with technician review before AI-generated records are finalized.

Join Service Next Medical to learn how medical device manufacturers are integrating AI and technical knowledge into everyday workflows to strengthen technician productivity and service execution.