Most field service platforms treat communication as a separate problem. Technicians text managers from the field, decisions get made over calls, and nothing is traceable back to the job it came from.

We built communication directly into the platform and thought carefully about where AI could be woven into that experience rather than bolted on top of it. When a dispatcher sends a message, the AI attempts to answer before the technician even needs to respond. If it can find the information, it does. If it cannot, the technician picks it up and the conversation stays in the same thread as the appointment it belongs to.

The dispatcher can also call the technician directly from the same view without switching tools. Every decision, whether resolved by AI or by the technician, is logged in context next to the job it relates to.

Most field service platforms treat communication as a separate problem. Technicians text managers from the field, decisions get made over calls, and nothing is traceable back to the job it came from.

We built communication directly into the platform and thought carefully about where AI could be woven into that experience rather than bolted on top of it. When a dispatcher sends a message, the AI attempts to answer before the technician even needs to respond. If it can find the information, it does. If it cannot, the technician picks it up and the conversation stays in the same thread as the appointment it belongs to.

The dispatcher can also call the technician directly from the same view without switching tools. Every decision, whether resolved by AI or by the technician, is logged in context next to the job it relates to.